2540 Data Science Jobs - Page 47

Accounts Lead / Lead Data Scientist (Job Order 277) Current Available Openings Position Details: Accounts Lead / Lead Data Scientist (Job Order 277) Description: Job Title: Lead Data Scientist Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimise complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualisations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings

Role - Lead AI engineer Mandate skill set - Python, Data Science (AI/ML), SQL Years of Experience - 5 to 12 years Relevant years of experience for each mandate skill : AI & ML - 5+ years , Python - 4+ years , SQL - 2+ years Notice period - Immediate to max 30 days Location-Cochin/TVM /Tamil Nadu Job Purpose: Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities: Design intelligent data science solutions that delivers incremental value the end stakeholders Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. Job Specification / Skills and Competencies: Masters/Bachelor s in Computer Science or Statistics or Economics At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems Deep understanding of Machine Learning models and algorithms Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. NLP, Text Mining, LLM (GPTs) Deep Learning, Reinforcement learning algorithm Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. Understanding of and experience of building machine learning models using various packages in one or more of the programming languages- Python / R Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts Understanding of AWS/Azure Cloud architecture Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). To adhere to the Information Security Management policies and procedures. Soft Skills Required: Must be a good team player with good communication skills Must have good presentation skills Must be a pro-active problem solver and a leader by self Manage & nurture a team of data scientists Desire for numbers and patterns ,

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Reporting to the AI, Automation and Data Science Manager, the AI / ML / Data Scientist is responsible for utilizing advanced analytics, machine learning, and automation techniques to extract actionable insights from diverse datasets. The incumbent should have a robust understanding of key AI / ML concepts and combine their expertise in data, computational science, and technology with MKC consumer-oriented business knowledge. Ultimately will drive high-value insights into the organization and steer strategic growth initiatives. Key Responsibilities Mine and analyze data from enterprise databases by applying statistics, machine learning, and analytic approaches to drive optimization and operational improvements. Collaborate with functions, functional solution leads, and strategic solution build teams to deploy scalable AI/ML-infused applications. Choose appropriate algorithms based on the nature of the problem, data structure, and desired outcomes. Train ML models using historical data and assess their performance against predefined metrics. Continuously optimize and fine-tune models for improved accuracy and efficiency. Required Qualifications & Experience Bachelors in Supply Chain, Computer Science, Data, Finance or relevant field. Automation Tools and Frameworks Programming, Testing and QA Data Analytics Technical knowledge for Data environments, transformation, models and queries Partnering across different regions and functions Interpersonal Skills Strong communication and diplomacy skills Strong analytical decision-making and direction-setting Experience working with regions and different culture WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Location : BangaloreRequired:Bachelors or Master s degree in Computer Science, Engineering, Data Science, or a related field.5+ years of experience with cloud platforms, preferably GCP.Hands on experience with Vertex AI, Generative AI Studio, Gemini APIs, and other GCP GenAI tools.Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.Experience building and deploying machine learning models in production.Familiarity with MLOps and CI/CD for AI/ML applications.Experience with prompt engineering, model evaluation, and hallucination mitigation techniquesPreferred:Google Cloud certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Architect).

Job description for the M.Tech Freshers (2021/2020/2019 pass outs) Suresh Gyan Vihar University, is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. SGVU is accredited with NAAC A Grade & NIRF ranking and we require candidates with excellent academic and professional record, should possess an academic focus that blends well with professional engineering and has a passion for achieving excellence in teaching & research. SGVU offers all possible avenues for growth. The candidate should be willing to take up and explore new opportunities. He/she should be self-motivated and able to create innovative teaching and research environment. Requirements: Masters in Computer Science (CS) / Information Science (IS) / Information Technology (IT) / Artificial Intelligence (AI) / Machine Learning (ML) / Data Science (DS) / Computer Application and other similar streams. Freshers (2021/2020/2019 pass outs) - strong subject knowledge is prerequisite for this job. Strong fundamental knowledge of the CSE subjects & concepts. Flair for teaching and excellent communication skills, both oral and written Other Job Details: Salary No bar for the deserving candidate

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. Were seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether its from home, one of our offices or hubs, or a co-working space near you. Job Overview: At Coursera, our Enterprise team plays a key role in increasing global access to a world-class education. We work with enterprises, governments, and universities from around the world to provide learning opportunities that enrich the careers of their employees and citizens and drive impact within their companies and countries. Over the three years since we launched, the Enterprise business has grown rapidly and now serves 2,500+ enterprises around the world, across three major business verticals: Coursera for Business (C4B), Coursera for Government (C4G), and Coursera for Campus (C4C). The Associates Solution Consultant is an Individual Contributor role with a global responsibility to support our enterprise sales efforts by taking lead in creating and delivering content recommendations - compiled as curations that can be provided to government, business, and higher education prospects and customers. The Associate Solution Consultant is an individual contributor role that is responsible for being an expert in Coursera s content, from data science and AI to leadership and creativity. In its role supporting our enterprise sales efforts, the Associate Solution Consultant will craft learning paths and content recommendations - often compiled as curations for Coursera s customers globally, including Fortune 500 companies, national governments, and schools (both at higher education and secondary levels).. We are looking for someone who is excited about helping universities, governments, and businesses develop the skills of the future. This role is ideal for someone who is willing and eager to learn constantly. You will have to quickly develop expertise in a wide variety of skill areas, from leadership and communication to AI, data science, software development, and a range of professional skills. You will have access to unlimited Coursera courses to help facilitate your professional development and effectiveness in this role. Responsibilities: Develop and maintain expertise in Coursera s large content catalogue of courses and hands-on projects / Labs. Learn the basics of a wide variety of skill areas and subjects, from AI to leadership and other workplace skills. Use your knowledge of Coursera s content to design curricula and skill building programs for companies, governments, and schools, including where relevant use of our pre-built curations and use our curation tools. Engage with our Sales, Customer Success, and Solutions Consulting teams in order to understand the business and skill requirements of a customer needing a curation and how the curation(s) that will be part of the proposed solution for a customer Advise our teams - and at times the customer - about how to approach creating the requested curation - and own the curation process. Review - and conduct additional discovery as needed with Sales or Customer Success teams - client goals, challenges, and requirements that need to inform the curation requested for a customer. Develop, deliver, and if needed present the curations and other materials, if relevant, to Sales team and possibly the customer Contribute to the development of best practices, processes, and tools to improve the efficiency and effectiveness of the Solution Consulting team Basic Qualifications: 2+ years of experience in business analysis, education, or customer-facing roles preferred Proficiency with data analysis in Excel / Google sheets Strong analytical, organizational, time management, and problem solving skills Good communication skills Preferred Qualifications: Deep interest in online education and an abiding belief in its ability to transform lives An ability to quickly become an expert in new topic areas with no prior experience Deep curiosity and a growth mindset Good presentation abilities and verbal communication skills Basic analytical and creative-problem solving abilities ; Attention to detail Entrepreneurial drive and desire to work in a fast-moving environment If this opportunity interests you, you might like these courses on Coursera: Learning How to Learn: Powerful mental tools to help you master tough subjects Critical Thinking Skills for the Professional Designing the Future of Work #LI-MJ1 Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here. #LI-Remote

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary Caterpillar is seeking a skilled Senior Data Scientist to join our team to act as a champion for our Digital Finance-Disruptive Technology Team within the Global Finance Services Division . The incumbent will leverage internal data and advanced analytics to solve business problems. The preference for this role is to be based out of Whitefield Office, Bangalore, India What you will do As a Senior Data Scientist, you will work in a team environment with a group of data scientists and software developers to support the development, integration, and enhancement of Caterpillar's analytics, AI, and Generative AI projects and products. Gain an understanding of Caterpillar s business and accounting practices, systems, and procedures. Developing ML/AI/GenAI models and solutions. Performing data gathering, data mining, and data processing on large volumes of data; creating appropriate data models. Demonstrating a breadth of knowledge in the application of ML/AI/GenAI and statistical methods and/or digital methods to solve business problems. Conducting research on data model optimization and algorithms to improve the effectiveness and accuracy of data analyses. Participating on 1-3 primary projects concurrently. Having a strong focus on continual learning in the Analytics field. Reporting and presenting team results. The Data Scientist will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their projects. What you will have Typically, a Bachelor's, Master s, or Ph.D. degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework. 5+ Years of Professional Experience with the ability to deliver data science products with almost no technical guidance from others. The ability to provide technical guidance to less experience data science team members. Experience with data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc. Practical applications of machine learning techniques such as clustering, logistic regression, CART, random forests, SVM, or neural networks. Technical and problem-solving skills with evidence of continuous learning in the analytics field. Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems. Experience with projects connecting data from various business domains and providing forecasts and insights to run the business profitably. Working knowledge of cloud technologies (AWS, Azure, Google Cloud, etc.). Working knowledge of version control/repositories such as GitHub. Experience operating in an Agile environment. Initiative to research and apply new methods and digital technologies to exceed customer expectations. Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. Must be comfortable working in MS Office, and industry standard statistics, analytics, and data visualization packages. Experience mechanizing manual data collection processes using Snowflake to enhance indicative data to generate quicker and more granular insights. Tables/Process could be leveraged by the Forecasting and Financial Analysis Reporting groups. Experience with writing fast and memory-efficient code as well as with various types of parallel processingthreading, multi-core/forking, multiple session, and cluster computing. Skills desired: Analytical Thinking Extensive knowledge of techniques and tools for effective analysis; ability to determine the root cause of problems and create alternative solutions that resolve these issues. GenAI / AI / Machine Learning Extensive experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, and machine learning; ability to develop, implement, and deliver related systems, products, and services. Statistics Extensive knowledge of statistical tools, processes, and practices to describe results on measurable scales; ability to use statistical tools and processes to assist in making business decisions. Programming Languages Extensive experience in applying Python (NumPy, SciPy, Pandas, etc.) to solve business challenges; ability to use tools, techniques, and platforms to write and modify programming languages. Information Processing Extensive experience in processing large quantities of detailed information with high levels of accuracy. Databases Extensive knowledge in writing, debugging, and implementing complex queries involving multiple tables or databases. Presentation Skills Strong presentation and communication skills. What you will get: Work Life Harmony Earned and medical leave. Flexible work arrangements Relocation assistance Holistic Development Personal and professional development through Caterpillar s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Posting Dates: January 16, 2025 - January 29, 2025 Caterpillar is an Equal Opportunity Employer (EEO). Not ready to applyJoin our Talent Community .

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Position Overview: As Lead Data Scientist you will join a Data Sciences team responsible for creating highly personalised offers for our Guests. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production. Also, we expect you to guide the ML talent in the team on both algorithms and engineering . At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. About You: Preferred MS or PhD in a quantitative field Experience with developing highly distributed ML systems 8+ years of relevant experience in data science, analytics, or applied machine learning, with a strong track record of solving complex business problems through data-driven approaches. Demonstrated ability to translate business problems into analytical solutions , leveraging statistical, machine learning, or optimization techniques to drive business impact. Proven experience in designing, building, and deploying machine learning models and pipelines in production environments at scale. Collaborate cross-functionally with data engineers, product managers, and software engineers to define problem statements, design experiments, and build data solutions that deliver measurable value. Strong programming skills in Python or Java , with hands-on experience using big data technologies such as Hadoop or Spark. Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras is a plus. Ability to communicate complex technical concepts and results clearly to both technical and non-technical stakeholders, using visualizations, dashboards, and storytelling techniques. Proactive and results-oriented , capable of driving projects independently and delivering under tight deadlines. A collaborative team player with experience working across global teams and contributing to a shared vision. Demonstrated experience in mentoring junior data scientists or analysts , fostering a culture of learning and innovation. Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. The Generative AI space at Target is evolving at an incredible pace. We are constantly reimagining how we may leverage AI for solving the challenging problems in retail. A role with the Generative AI Data Science team means building scalable data science products by leveraging Generative AI in an efficient manner. This will mean being more intelligent, automated and algorithmic in our decision-making. So, we re looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root cause, simplifies problems, quickly identifies solutions, commits to a plan and then positively influences others to execute itIf so, you will have success on this dynamic team. About the role Our Generative AI team oversees the development of a platform which will allow various product & engineering teams to leverage GenAI based solutions in an effective manner. We also support various teams within Target so that they will be able to build products as per Target standards regarding use of responsible AI. As a Senior Data Scientist at Target, you will get an opportunity to design, develop, deploy and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with AI/ML engineers and data scientists on peer teams to build and productionize groundbreaking GenAI based solutions for various teams. In this role as a Senior Data Scientist, you will Analyze large datasets for insights leading to business process improvements or solution development. Contribute to the research, design, and implementation of leading-edge generative AI technologies to address and solve complex problems that contribute to finding solutions for the retail world. Work with Multimodal LLMs, enhance model performance, fine-tune LLMs Work with the team to build and maintain complex software systems and tools. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. Bachelor s/MS/PhD in Mathematics, Statistics, Computer Science, or other related fields 3-4+ years of relevant experience Strong analytical thinking. Ability to creatively solve business problems, innovating innovative approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Experience in developing, testing, and maintaining large codebases in a collaborative environment, while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive. Exposure to programmatic use of GenAI/LLMs and related ecosystem. Experience in developing Deep Learning based solutions using PyTorch or TensorFlow Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with ability to collaborate effectively across geographies/ time zones. Excellent written and verbal communication skills Preferred Qualifications Knowledge of containerized solutions using Docker/ Kubernetes. Exposure to Prompt Engineering, Embedding Generation, Retrieval Augmented Generation (RAG) space (e.g., Vector DB, Elastic Search) will be plus. Knowledge of Computer Vision & Deep Learning Methods. Good working Knowledge of Mathematical and statistical concepts, optimization, data structures and algorithms, data analysis, visualizations, and applications of same in a variety of business problems. Experience deploying solutions with large-scale business impact in commercial settings. Know more about us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Target s Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As a Senior Data Scientist at Target, you will get an opportunity design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize fulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Target s supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Bachelor s/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields. 3-4+ years of relevant experience in data sciences; experience with supply chain or e-commerce order fulfillment is preferred. Excellent working knowledge of mathematical and statistical concepts , operations research , data structures and algorithms, data analysis, visualizations , and applications of the same in a variety of business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real and mixed integer), and their applications in industry settings Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory. Experience developing, testing, and maintaining large codebases in a collaborative environment. while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark. Experience deploying solutions with large-scale business impact in commercial setting is a plus. Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with ability to collaborate effectively across geographies/ time zones. Excellent written and verbal communication skills Know More About Us: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target Work on advanced analytics and data science projects that directly impact Target s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Target https://india.target.com/ Benefits https://india.target.com/life-at-target/workplace/benefits

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. About the Job: As Sr Product Manager for Guest Product Confidence , you will be at the forefront of enhancing guest-generated content experiences across our digital ecosystem. You will lead initiatives focused on collecting, displaying, and leveraging content such as Ratings & Reviews, Q&A to enhance customer trust, improve product offerings, and drive overall business growth. This role will require you to lead the product by identifying key opportunities to enhance guest-generated content, strategically collaborate with and influence cross-functional teams across Digital and Enterprise, leverage machine learning, define product - technology strategy and roadmap, work with data sciences and technology teams to build capabilities that drive guest engagement and sales. We are looking for someone with strong demonstrable B2C ecommerce product management experience, particularly in areas related to guest-generated content, feedback loops, and the integration of these elements into the broader customer experience and enterprise insights. Candidate must have previous experience in building greenfield products navigating the challenges in adoption, working through ambiguity & complex collaboration with interconnected partner systems, solving big data problems, leveraging machine learning, with intense data orientation, business outcomes and customer focus. Proven experience in setting vision, strategies, roadmap planning, defining, and tracking success metrics, writing, and pitching business case, ability to tell the story and establish rapport, credibility, and influence in a highly cross-functional, matrix organization across geographies. Product Teams at Target are accountable for the delivery of business outcomes enabled through technology and analytic products that are easy to use, easily maintained and highly reliable. Role overview: As a Sr Product Manager, you will work in the product model and will partner to develop a comprehensive product strategy, related roadmap, and set key business objectives (OKRs) for your respective product. You will need to leverage the knowledge of your product, as well as customer feedback and establish other relevant data points to assess value, develop business cases, and prioritize the direction and desired outcomes for your product. You will lead a product and work in unison with engineers, UX designers, data scientists and business partners to deliver a product. You will be the voice of the product to key stakeholders to ensure that their needs are met, and that the product team is getting the direction and support that it needs to be successful. You will develop and actively understand the market, maintain a product roadmap and backlog outlining the customer themes, epics, and stories while prioritizing the backlog to focus on the highest impact work for your team and stakeholders. You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles, and partner with product teams across the organization to help them achieve their goals while pursuing and completing yours. Job duties may change at any time due to business needs. About you 4-year college degree (or equivalent experience) 10+ years of retail experience or equivalent domain experience with at least 6+ years in B2C ecommerce Product Management, building capabilities and driving top of the funnel customer experience Proven experience working on strategies & execution in optimizing guest-generated content to enhance product trust, drive engagement, and increase conversion rates with a focus on elevating the overall customer experience Demonstrable experience working on big data problems, leveraging machine learning, putting together product vision & strategy, writing & pitching business case and experience in SEO/SEM, A/B tests. Experience working on back-end (services) & Frontend Top of Funnel Experience Strong communication & influencing skills with proven ability to lead & influence highly cross functional, matrix organization across geographies. Experience working in an agile environment (e.g., user stories, personas, iterative development, scrum teams) Useful Links: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview: As a Director Data Science, you will be responsible for leading the build and deployment of data science products that support the business priorities of the Merchandising function. Examples of such high impact data products include the optimization of Reg Pricing of all items in all 1900+ Target stores, as well as Digital. You will lead the build and deployment of the solution that helps to identify the best prices for the items sold in stores as well as digitally, that make best sense for our guests across various US markets, with the goal to maximise sales and profitability. You will get to lead teams that translate the understanding of broader macroeconomic factors, while supplementing with internal insights on demand variations by market, guest demographics, item cross-demand etc. Deployment of these data products will leverage the full power of the mathematical / computational architecture we have developed and deployed in an MLOps framework. This leadership role is responsible for providing work direction to bright data scientists and help develop a highly diverse and engaged team with a focus on continuous upskilling and learning. This role will also have the opportunity to work directly with senior leaders and partners in the business teams to influence and drive the data science roadmap for Merchandising business at Target. Core responsibilities are described within this job description. Job duties may change at any time due to business-needs. About You: 12+ years of experience deploying algorithms in a production environment with atleast 4+ years of developing highly performing data science teams M.S. or Ph.D. in math, advanced statistics, physics, bio statistics, bio science, operations research or computer science Strong academic credentials in Mathematics - well-trained in Math foundations (specifically in Probability Theory, Real Analysis, and Linear Algebra) Deep understanding of the Merchandising business processes would be an added advantage Must have strong written and oral communication skills, and the ability to debate proposed ideas from both a business perspective and from a mathematical perspective Proven ability in working and influencing the data roadmap of various business teams and stakeholders and strong negotiation skills Know More About Us here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Master s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Right along with Target s distinctive retail brand, we are constantly improving and innovating our digital shopping experience. Are you ready to excel in the fast-changing retail environmentAre you a customer service enthusiast who s curious about the guest and can see the shopping journey through their eyesThen you ll have success on the Digital Strategy & Platform team, whose goal is to offer guests a seamless online shopping experience across our platforms including Target.com and the store network s fulfillment capabilities. Here, you ll collaborate to create and implement the digital strategies that enrich the online experience through the right mix of personalization, simplicity and intuitiveness. Your ideas will support Target in complementing the beloved in-store shopping interaction with a convenient, reliable and instantly gratifying digital experience. Team overview: As Sr Product Manager for Digital , you will be at the forefront of enhancing consumer experiences across our digital ecosystem You will play a crucial role in enhancing consumer experiences by developing and optimizing item and content capabilities that power the guest shopping journey. Your work will focus on improving how products are represented digitally, ensuring high-quality, enriched, and structured content that enables seamless discoverability, engagement, and decision-making. You will lead initiatives that leverage, AI/ML, and GenAI to optimize item and content capabilities, ensuring that guests receive accurate, relevant, and engaging product information. This role will require you to lead the product by identifying key opportunities, strategically collaborate with and influence cross-functional teams across Digital and Enterprise, leverage machine learning, define product - technology strategy and roadmap, work with data sciences and technology teams to build capabilities that drive guest engagement and sales. We are looking for a candidate with strong B2C ecommerce product management experience, particularly in managing and scaling item data, content capabilities, and leveraging emerging AI/ML technologies. You must have experience building data-driven, AI-powered solutions, handling structured and unstructured content, and navigating the challenges of adoption and integration within a complex digital ecosystem. The ideal candidate will have expertise in SEO/SEM strategies, big data processing, A/B testing, and an intense focus on customer experience and business outcomes. Proven experience in setting vision, strategies, roadmap planning, defining, and tracking success metrics, writing, and pitching business cases, and the ability to establish rapport, credibility, and influence in a highly cross-functional, matrixed organization is essential. Product Teams at Target are accountable for delivering business outcomes enabled through technology and analytic products that are easy to use, easily maintained, and highly reliable. Role overview : As a Sr Product Manager , you will work in the product model and will partner to develop a comprehensive product strategy, related roadmap, and set key business objectives (OKRs) for your respective product. You will need to leverage the knowledge of your product, as well as customer feedback and establish other relevant data points to assess value, develop business cases, and prioritize the direction and desired outcomes for your product. You will lead a product and work in unison with engineers, UX designers, data scientists and business partners to deliver a product. You will be the voice of the product to key stakeholders to ensure that their needs are met, and that the product team is getting the direction and support that it needs to be successful. You will develop and actively understand the market, maintain a product roadmap and backlog outlining the customer themes, epics, and stories while prioritizing the backlog to focus on the highest impact work for your team and stakeholders. You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles, and partner with product teams across the organization to help them achieve their goals while pursuing and completing yours. Job duties may change at any time due to business needs. About you 4-year college degree (or equivalent experience) 9+ years of retail experience or equivalent domain experience with at least 6+ years in B2C ecommerce Product Management, building capabilities and driving top of the funnel customer experience Proven experience working on strategies & execution in optimizing guest-generated content to enhance product trust, drive engagement, and increase conversion rates with a focus on elevating the overall customer experience Demonstrable experience working on big data problems, leveraging machine learning, putting together product vision & strategy, writing & pitching business case and experience in SEO/SEM, A/B tests. Experience working on back-end (services) & Frontend Top of Funnel Experience Strong communication & influencing skills with proven ability to lead & influence highly cross functional, matrix organization across geographies. Experience working in an agile environment (e.g., user stories, personas, iterative development, scrum teams) Useful Links: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Target s Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and stores solutions. Develop a strong understanding of business and operational processes within Target s Stores. Gain an in-depth understanding of systems and processes influencing stores efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving stroes operating model. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Know More About Us Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. Position Overview: As a Senior Data Scientist, you will be involved in end-to-end development of Ad-Tech products and capabilities that fulfil strategic priorities and power growth of Roundel, Target s Retail media business. You will leverage understanding of data and algorithms to build prototypes and run experiments to evaluate them against given specifications. As you follow agile processes, you will implement and deploy a scalable data science solution by using MLOps best practices across model development life cycle. You will collaborate with product and business partners to seek feedback on effectiveness of solution and identify future opportunities for enhancements. You will work with your peers to create a well-maintainable & tested codebase with relevant documentation. The exciting part of retail and mediaIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience 3+ years of professional experience or equivalent industry experience Good knowledge and experience developing optimization, simulation and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches, where required Strong hands-on programming skills in Python, SQL, Spark, Hadoop/Hive . Good working knowledge of mathematical and statistical concepts, MILP, algorithms and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like r egression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About Us here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

PRIMARY FUNCTION This role leads media operations and program management capabilities for Roundel Media Acceleration Group (MAG) in Bangalore, reporting to Vice President, Roundel Media Target in India. The person is expected to be a key player in setting strategies for Roundel media capabilities; influencing product roadmap in partnership with the leadership team in US and Bangalore. The incumbent sets the strategy and annual goals for the global capabilities of media planning, trading & optimization, ad operations, program management across managed and self-service business lines. The person is expected to unlock value of a set of connected capabilities from Bangalore and plays an active role in building Roundel as a leading media company in the world delivering compelling advertising and media solutions to brands/companies. They will play a crucial role in defining and improving OKRs, fostering transparency around performance, identifying opportunities, and implementing scalable best practices. This role requires a strong ability to demonstrate strategic planning, business acumen with a keen eye on what s happening on the broader media landscape, proactive decision making and strong execution rigor. Must be able to work in a fast-paced, highly interactive environment interfacing between senior leadership and middle management and the team at large. Principal Duties and Responsibilities Gain leadership agility in a highly matrixed cross-functional team behind a strategic vision. Partner with and influence executive leaders across Roundel, marketing, and digital teams, including SVP level. Demonstrate horizontal leadership to drive cross-functional work, foster open communication, and champion a culture of shared responsibility with the goal of delivering improved outcomes. Primary key partners would include Product, Marketing, Digital, and Merchandising Prioritize key projects and management of critical issues to ensure attention and focus of Roundel s senior leadership team. Eases decision making by striving to provide full information at point of decision and by serving as a reliable, trusted and objective channel for all stakeholders Organizing, aligning and driving strategic priorities with members of the senior Roundel leadership team Owns or identifies owners to drive operational initiatives across Roundel Bangalore. Ensures alignment and timelines support the overall business strategy Managing cross-marketing (perhaps cross-enterprise) projects, coordinating and executing to Target s strategies and agenda to ensure efficient operations Ensures the work and teams responsible for integrating enterprise data and insights ties to strategic priorities at pyramid level. Engaging directly with key internal and external stakeholders, representing the organization in a clear and compelling way. Lead teams to optimize full funnel experiences on all relevant ad-platforms using tooling/automation, advanced analytics, and aligned goals/resourcing/processes to drive best in class experiences and financial results to drive and own media performance (P&L and marketshare growth) Key Competencies: Ability to work horizontally across Marketing & Digital and enterprise to ensure clear understanding of Target s strategic roadmap, DigiRev priorities and Roundel business goals Deep understanding of business strategy, implementation/operational best practices and resource planning Strategic thinker with effective, diplomatic and proactive leadership skills. Critical thinking-ability to brainstorm on complex problems and leverage thought leadership to provide solutions Excellent interpersonal skills with the ability to read people and connect with various audiences Highly credible, collaborative, and resourceful style with the ability to work independently and as a team player. Demonstrated ability to operationalize strategies across key stakeholder groups Strong executive presence and communication skills with ability to present in a variety of settings to teams and senior leadership; comfort speaking internally or externally Analytical acumen, demonstrated ability to deep dive into data, extract insights and provide guidance on actions Root cause analysis and problem solving Team Management and Development Responsible to identify and develop top talent; leading working teams to deliver on Roundel Business strategy and operational needs A leader of leaders, this person is a mentor with strong influence across not only their direct report teams, but across Roundel and M&D India Sets clear goals and objectives with ongoing coaching, performance evaluation and feedback to build the best team and do the best work Engages and inspires team to achieve challenging goals and high standards of performance. Strategic thinker with effective, diplomatic and proactive leadership skills. Reporting / Working Relationships : Reports to Vice President, Roundel Media, Target in India Reporting to this position is a team of senior media leaders across program management and media operations. Internal and External Partnerships Roundel Leadership team Target in India Sr. Leaders MINIMUM JOB REQUIREMENTS : Bachelor s degree or higher in Business, Management, Strategy and Operations or other related field 18 + years experience in leading teams; desired is 10-12 years of experience in leading teams in retail and/or retail industry Ability and experience in communicating vision in an inspiring way Ability to provide clear, and actionable feedback Able to see solutions from a Guest s perspective and deliver against business needs without sacrificing connected guest experience Ability to effective partner with key business leaders across the organization Experience and ability to present to all levels of leadership with confidence

: Job TitleSenior Data Science Engineer Lead LocationBangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design & Develop Agentic AI ApplicationsUtilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language ModelsCustomize LLMs and SLMs using domain-specific data to improve performance and relevance in specialized applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-FunctionallyWork with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimize AI WorkflowsEmploy MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring Your skills and experience 15+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs, and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or ecommerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for crossfunctional collaboration. Ability to work independently and manage multiple projects simultaneously How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Team overview Measurement is integral to our Retail Media business and help propel Roundel as a differentiated leader in the advertising industry. Measurement product teams are responsible to build certified data sets, partner with measurement strategy and data sciences to co-create the measurement methodology and models. Driving performance through closed loop and lift models and provided self-service API s, reporting and visualization services to internal and external stakeholders. Role overview As a Sr. Product Manager, you will work closely with Roundel s Product leadership and key stakeholders to define the overall strategic vision for your product and build teams, are accountable for the creation and execution of the product roadmap that will deliver against identified business outcomes and metrics (OKRs), articulate the short- and long-term product goals and align with key build partners and business stakeholders. This role has a strong external looking facet where in you will be required to identify emerging trends within the RMN (Retail Media Network) measurement space, be up-to-date on competitor offerings, propose meaningful partnership opportunities, anticipate impact of changes within the broader adtech space to your products and build it within the delivery roadmap. You will drive product discovery with key stakeholders to validate hypotheses and concepts with customers before committing engineering time, as you lead highly complex work across multiple pyramids, with interrelated specialties. You will leverage data and analytics to provide competitive analysis, drive decision making, assess the health and effectiveness of your and to deliver recommendations to key stakeholders. This role requires working closely with Data Science and Engineering teams within Target and with our external partners. You will be required to clearly articulate the product expectations to DS problems and provide functional and domain guidance to ensure that the output is of the required quality and format as is needed by Target s advertisers. You will also be required to be comfortable with making build versus buy recommendations based on an objective rules based framework. You will oversee progress against product backlogs to ensure work and priorities are in line with the product strategy while prioritizing themes, epics, and stories, to ensure work focuses on those with maximum value that are aligned with the product strategy. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you Four-year degree or equivalent experience 10+ years of Product management experience or equivalent domain experience Experience to working in Measurement or data science heavy products Experience with technology and ability to facilitate communication between business and technology teams Previous experiences managing 3rd party partners and co-building products by providing thought leadership Strong communication skills and proven ability to influence both at a strategic leadership level and cross functionally Expert at working in the agile environment (e.g. user stories, iterative development, scrum teams, sprints, personas) Strategic mindset and bias for action with strong ability for strategic planning, defining OKRs and driving business outcomes Ability to influence teams without direct authority while fostering relationships across multiple enterprise-wide teams Respects, appreciates, and values diverse voices and approaches and committed to creating equitable experiences and fostering an inclusive team Useful links Life at Target https://india.target.com/ Benefits https://india.target.com/life-at-target/workplace/benefits Culture https://india.target.com/life-at-target/belonging

About us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Overview of Target in India Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. Fueling the continued success of one of the world s most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization. Target Marketing is well known for inspiring and surprising guests, and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target. We study our guests to discover new needs and insights, and then craft every interaction to build brand love. We are market experts who insist on a clear and cohesive understanding of our business objectives, guest segments and behaviors, strategies and tactics, overcoming obstacles and measuring success. Our commitment to partnering both internally and with external agencies gives us a wide range of capabilities, from award-winning creative work to exciting and unique promotional marketing. Leveraging our collective assets and fostering a healthy, supportive and open team culture, we deliver a holistically gratifying experience that guests can only get at Target. About this opportunity A role as Sr Guest Engagement Analyst (Category), Target Circle, you will contribute in delivering upon your respective category s guest/customer engagement strategies to shape how Circle incentivizes and rewards shape guest behavior to deepen their engagement with Circle, categories, and Target broadly. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs Assist & support in creation of quarterly Circle category activation strategies, in close partnerships with Business, Merchandising, Marketing, Digital teams. Determine priorities, calendarization, category & guest goals against which Business & Circle teams will plan & execute against. Own end to end campaign execution in partnership with Data Sciences, Operations, Marketing & Measurement teams with aspects like forecasting, budget management, recapping & campaigne end results analysis. Provide stakeholders with visibility to Circle roadmap, partner with Data Analytics to enable category-level Circle guest insights and performance, and share macro trends and competitive actions in loyalty industry that are relevant to the category and/or guest mindset. Create testing and learning plans to inform future path forward for segmented, personalized Circle offers Evolve Circle s foundational promo strategydefine the role of Circle promos within enterprise promo ecosystem. You will collaborate with both external & internal to Target stakeholders to plan & activate seamless Circle engagement rewards & experience plans. Navigation would be key as including but not limited to following teams have to be aligned for most activationsMarketing, Measurement, Finance, Legal, PPCOE, Data Sciences, Merchant, Finance, Product and other Partner teams. Note- Job duties may change at any time due to business needs About You Bachelor s degree or equivalent relevant work experience MBA in Marketing would be desirable. 5+ years of experience in customer loyalty & retention, category management and/or campaign management Strong business & financial acumen for both retail and loyalty Understanding of forecast and budget management with ability to do extensive financial and data analysis A master collaborator who can inspire trust and confidence with a range of partners Demonstrated leadership and decision-making skills Strong written and oral communication skills Excellent analytical and problem-solving skills Self starter who is comfortable working with ambiguity and can drive initiatives on their own. Strong process, planning and organizational skills High sense of Ownership & accountability, with attention to details & thoroughness. Demonstrated experience organizing information, communicating effectively and working as part of a team Ability to manage multiple projects simultaneously Ability to build trusting relationships with team and enterprise partners, proactively seeking input and collaboration, yet comfortable and confident in declaring own perspective. Defines and communicates success metrics, and ensures that initiatives are prioritized to deliver against success metrics. Synthesizes complex bodies of work across the team into clear, concise, and compelling story-telling Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/diversity-and-inclusion

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win About us Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . As a Senior Engineer, you serve as the technical anchor for the engineering team that supports a product. You create, own and are responsible for the application architecture that best serves the product in its functional and non-functional needs. You identify and drive architectural changes to accelerate feature development or improve the quality of service (or both). You have deep and broad engineering skills and are capable of standing up an architecture in its whole on your own, but you choose to influence a wider team by acting as a force multiplier . About this Team IT Data Platform (ITDP) is the powerhouse data platform driving Target's tech efficiencies, seamlessly integrating operational and analytical needs. It fuels every facet of Target Tech, from boosting developer productivity and enhancing system intelligence to ensuring top-notch security and compliance. Target Tech builds the technology that makes Target the easiest, safest and most joyful place to shop and work. From digital to supply chain to cybersecurity, develop innovations that power the future of retail while relying on best-in-class data science algorithms that drive value. Target Tech is at the forefront of the industry, revolutionizing technology efficiency with cutting-edge data and AI. ITDP meticulously tracks tech data points across stores, multi-cloud environments, data centers, and distribution centers. IT Data Platform leverages advanced AI algorithms to analyze vast datasets, providing actionable insights that drive strategic decision-making. By integrating Generative AI, it enhances predictive analytics, enabling proactive solutions and optimizing operational efficiencies. Basic Qualifications 4 years degree or equivalent experience 3+ years of industry experience in software design, development, and algorithm related solutions. 3+ years of experience in programming languages such as Java, Python, Scala. Hands on experience developing distributed systems, large scale systems, database and/or backend APIs. Demonstrates experience in analysis and optimization of systems capacity, performance, and operational health Preferred Qualifications Experience Big Data tools and Hadoop Ecosystems. Like Apache Spark, Apache Iceberg, Kafka, ORC, MapReduce, Yarn, Hive, HDFS etc. Experience in developing and running a large-scale system. Experience with industry, open-source projects and/or databases and/or large-data distributed systems. Key Responsibilities Data Platform ManagementDesign, implementation, and optimization of the Data Platform ensuring scalability and data correctness. DevelopmentOversee the development and maintenance of all core components of the platform. Unified APIsImplementation of highly scalable APIs with GraphQL/REST at enterprise scale. Platform Monitoring and ObservabilityEnsure monitoring solutions and security tools to ensure the integrity and trust in Data and APIs. Leadership and MentorshipProvide technical leadership and mentorship to junior engineers, fostering a culture of collaboration and continuous improvement. Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/diversity-and-inclusion

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Target s investments in technology and innovation. We re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests and we do so with a focus on diversity and inclusion, experimentation and continuous learning. About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview Develop a strong understanding of business and operational processes. Analyse large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Follow us on social media https://www.linkedin.com/company/target/ Target Tech- https://tech.target.com/

About us- As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Overview of Target in India Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. Fueling the continued success of one of the world s most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization. Target Marketing is well known for inspiring and surprising guests, and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target. We study our guests to discover new needs and insights, and then craft every interaction to build brand love. We are market experts who insist on a clear and cohesive understanding of our business objectives, guest segments and behaviors, strategies and tactics, overcoming obstacles and measuring success. Our commitment to partnering both internally and with external agencies gives us a wide range of capabilities, from award-winning creative work to exciting and unique promotional marketing. Leveraging our collective assets and fostering a healthy, supportive and open team culture, we deliver a holistically gratifying experience that guests can only get at Target. About this opportunity A role as Guest Engagement Analyst Target Circle, you will contribute in building & supporting the vendor engagement team to help define how vendors interact with our Loyalty program, Target Circle. & shape how incentivizes and rewards shape guest behavior to deepen their engagement with Circle, categories, and Target broadly. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs Assist & support in creation of annual & quarterly Circle vendor activation strategies, in close partnerships with Business, Merchandising, Marketing,Ops, Digital teams. Determine priorities, calendarization, category & guest goals against which Business & Circle teams will plan & execute against. Own end to end campaign execution in partnership with Data Sciences, Loyalty Operations, Marketing & Measurement teams with aspects like forecasting, budget management, recapping & campaign end results analysis. Provide stakeholders with visibility to activations roadmap, and share macro trends and competitive actions in loyalty industry that are relevant to the category and/or guest mindset. Create testing and learning plans to inform future path forward for segmented, personalized Circle offers Evolve Circle s foundational promo strategydefine the role of vendor Circle promos within enterprise promo ecosystem. You will collaborate with both external & internal to Target stakeholders to plan & activate seamless Circle engagement rewards & experience plans. Navigation would be key as including but not limited to following teams have to be aligned for most activationsMarketing, Measurement, Finance, Legal, PPCOE, Data Sciences, Merchant, Finance, Product and other Partner teams. Note- Job duties may change at any time due to business needs About You- Bachelor s degree or equivalent relevant work experience MBA in Marketing would be desirable. 2+ years of experience in customer loyalty & retention, vendor liason, working with national brands, category management and/or campaign management Understanding of forecast and budget management with ability to do extensive financial and data analysis A master collaborator who can inspire trust and confidence with a range of partners Strong written and oral communication skills Excellent analytical, decision making and problem-solving skills Self starter who is comfortable working with ambiguity and can drive initiatives on their own. Strong process, planning and organizational skills High sense of Ownership & accountability, with attention to details & thoroughness. Demonstrated experience organizing information, communicating effectively and working as part of a team Ability to manage multiple projects simultaneously Ability to build trusting relationships with team and enterprise partners, proactively seeking input and collaboration, yet comfortable and confident in declaring own perspective. Defines and communicates success metrics, and ensures that initiatives are prioritized to deliver against success metrics. Synthesizes complex bodies of work across the team into clear, concise, and compelling story-telling Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/diversity-and-inclusion

Target is an iconic brand, a Fortune 50 company, and one of America s leading retailers. Global Supply Chain and Logistics at Target is evolving at an incredible pace. We are constantly reimagining how we get the right product to guests faster, better, and more cost-effectively across 1,900 locations. A role with the Data Science team means building scalable data science products to support the ever-changing supply chain landscape. This involves making smarter, automated, and algorithmic decisions. Evaluating product flow from vendor to distribution center and stores across the first mile, middle mile, and last mile, with a focus on inventory modeling and replenishment, to improve operating efficiencies both within the distribution center and across the network. We are looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root causes, simplifies problems, quickly identifies solutions, commits to a plan, and positively influences others to execute itIf so, you will thrive on this dynamic team. About the Role: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Target s Supply Chain, such as identifying optimal inventory quantities and positioning across multiple channels and locations, planning the right mix of inventory investments versus guest experience, digital order fulfillment planning, transportation resource planning, and more. As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale for our supply chain network. You will design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize supply chain solutions. Responsibilities: Develop a strong understanding of business and operational processes within Target s Supply Chain. Gain an in-depth understanding of systems and processes influencing supply chain efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. : Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Why Work with Us at Target Work directly on data science problems with the most impact on Target's entire supply chain, forecasting, and merchandising teams. We love open-source! Many of our team members contribute to open-source communities during work hours, and we try to contribute back where we can. We value diversity and inclusion in our teams and believe it s key to creating positive in-store experiences for our guests. We offer flexibility to team members' schedules and work arrangements, enabling them to flourish both inside and outside of work.