3311 Big Data Jobs - Page 33

EVOASTRA VENTURES PVT LTD is looking for Machine Learning Engineer Intern to join our dynamic team and embark on a rewarding career journey. Support machine learning initiatives, develop and implement ML models, perform model training, testing, and deployment, collaborate with data scientists and engineers, ensure model accuracy and scalability, and gain hands - on experience in ML techniques and tools. Assist in the optimization of ML workflows and processes.

Key Responsibilities: 1.Architect and design end to end data pipelines starting from Source systems to Data warehouse. 2.Lead the development of scalable Python- Spark based data processing workflows 3.Define and implement data modeling standards for DWH including fact/dimension schema and historical handling. 4.Oversee performance tuning of Python, Spark and ETL loads. 5.Ensure robust data integration with Tableau reporting by designing data structures optimized for Bl consumption. 6.Mentor junior engineers and drive engineering best practices. 7.Work loosely with business stakeholders, developers and product teams to align data initiatives with business goals, 8.Define SLAs, error handling, logging, monitoring and alerting mechanisms across pipelines. Must Have: 1. Strong Oracle SQL expertise and deep oracle DWH experience. 2. Proficiency in Python and Spark with experience handling large scale data transformations. 3. Experience in building batch data pipelines and managing dependencies. 4. Solid understanding of data warehousing principles and dimensional modeling. 5. Experience working with reporting tools like Tableau. 6. Good to have experience in cloud-based DWHs (like Snowflake) for future- readiness. Mandatory Competencies ETL - ETL - Data Stage Beh - Communication and collaboration BI and Reporting Tools - BI and Reporting Tools - Tableau QA/QE - QA Analytics - Data Analysis Database - Database Programming - SQL Big Data - Big Data - SPARK Programming Language - Python - Python Shell ETL - ETL - Ab Initio

Spark/PySpark Technical hands on data processing Table designing knowledge using Hive - similar to RDBMS knowledge Database SQL knowledge for retrieval of data - transformation queries such as joins (full, left , right) , ranking , group by Good Communication skills. Additional skills - GitHub , Jenkins , shell scripting would be added advantage Mandatory Competencies Big Data - Big Data - Hadoop Big Data - Big Data - SPARK Big Data - Big Data - Pyspark DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins Beh - Communication and collaboration Database - Database Programming - SQL DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Basic Bash/Shell script writing Big Data - Big Data - HIVE

Job Title : Big data Devloper Location State : Karnataka Location City : Bangalore Experience Required : 6 to 8 Year(s) CTC Range : 7 to 11 LPA Shift: Day Shift Work Mode: Onsite Position Type: C2H Openings: 2 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: Client is an Indian multinational technology company specializing in information technology services and consulting. Headquartered in Mumbai, it is a part of the Tata Group and operates in 150 locations across 46 countries. About The Job: Bigdata and Hadoop Ecosystems Essential Job Functions: Bigdata and Hadoop Ecosystems Qualifications: Bigdata and Hadoop Ecosystems How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000

Job Title: AgentOps Lead Champion Location: Flexible (India/Bengaluru preferred) Team: GrowthTech | AI Enablement | Marketing Ops Reports To: VP, Growth & Intelligence Systems Role Overview LakeB2B is seeking a strategic, hands-on AgentOps Lead to drive the next wave of AI agent innovation across marketing, sales, and customer success functions. You will lead the development, deployment, and continuous optimization of LakeB2B’s proprietary AI agents and data science products, unlocking growth across our internal operations and for our external clients. This is a hybrid role at the intersection of data science, AI agent orchestration, and B2B growth. You’ll lead high-performing teams, collaborate cross-functionally, and turn 1.1B+ records into intelligent, scalable agent solutions that fuel the revenue engine. Key Responsibilities AI Agent Deployment & Intelligence • Architect and operationalize LakeB2B’s proprietary agent suite including ICP GPT, Lead GPT, Data GPT, Campaign Co-Pilot, and Company GPT. • Manage prompt engineers and agent trainers to create, refine, and QA agents tailored to vertical-specific use cases. • Integrate agents with LakeB2B’s proprietary datasets (730M contacts, 340M firmographics) for real-time personalization. Performance & Data Strategy • Develop advanced performance dashboards to measure agent impact (leads, response rates, conversions) and identify top-performing datasets. • Work with campaign managers and data teams to pilot successful agent use cases and surface actionable data patterns. • Apply natural language processing (NLP), computer vision, or predictive analytics techniques to improve agent intelligence and user value. ML & Data Science Productization • Design and implement advanced ML models and AI-driven algorithms for use in both internal ops and external data products. • Build predictive models, customer segmentation tools, recommendation engines, and data enrichment layers to supercharge campaign outcomes. • Collaborate with product, sales, and engineering teams to develop data-powered solutions for clients. Data Operations & Infrastructure • Lead efforts in data cleansing, deduplication, identity resolution, and enrichment to improve accuracy and usability of data products. • Build and automate robust data pipelines for efficient processing, modeling, and delivery of AI and ML solutions. • Continuously monitor, evaluate, and refine models for accuracy, impact, and ethical use. Cross-Functional Collaboration & Governance • Coordinate with IT, data science, and AI vendors to ensure data readiness, security, and responsible AI practices. • Document agent behavior, model assumptions, and data workflows; communicate findings clearly to internal and external stakeholders. Key Skills & Requirements Must-Have: • Bachelor’s/Master’s in Data Science, Computer Science, Statistics, Mathematics, or related fields • 6+ years in B2B marketing ops, product, AI deployment, or sales enablement (with at least 3+ in a data science/ML/AI role) • Strong command over Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R • Deep understanding of supervised/unsupervised ML algorithms and deep learning methods • Familiarity with NLP, recommendation systems, clustering, regression, and classification techniques • Experience with large-scale datasets, ETL workflows, and real-time data enrichment • Hands-on experience with AWS, Azure, or GCP • Familiarity with big data platforms like Spark, Hadoop (preferred) • Experience working with CRM systems, multichannel campaign tools, or outbound GTM stacks • Exceptional analytical thinking and business translation skills Nice to Have • Experience building LLM-based agents and hyper-personalized outbound automations • Exposure to growth marketing, ABM, or performance marketing strategies • Experience in building AI-first external client-facing products • Prior work in SaaS or B2B data firms Role & responsibilities Interested Candidate share your resume to thirumala.j@championsmail.com

Key Responsibilities: 1.Support the design and implementation of Data warehousing solutions using Oracle DWH. 2.Develop and maintain Python and Spark scripts to process and transform large datasets. 3.Collaborate with analysts and Bl developers to ensure data availability for tableau dashboards. 4.Perform DQ checks and resolve data inconsistencies. 5.Document data flows, transformations and job schedules. Must Have: 1.Expertise on Oracle SQL 2.Hands on with Python and Spark 3.Familiarity with ETL concepts and data modeling basics. 4.Exposure to reporting tools like Tableau Mandatory Competencies Big Data - Big Data - SPARK ETL - ETL - Data Stage Beh - Communication and collaboration Programming Language - Python - Python Shell ETL - ETL - Ab Initio BI and Reporting Tools - BI and Reporting Tools - Tableau QA/QE - QA Analytics - Data Analysis Database - Database Programming - SQL

Responsibilities Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality. AWS Data Services: Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc. Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options. Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services. Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources. Data Quality: Implement data quality frameworks and best practices to ensure data accuracy, completeness, and consistency. Cloud Optimization: Optimize data engineering solutions for performance, cost-efficiency, and scalability on the AWS cloud. Team Leadership: Mentor and guide data engineers, ensuring they adhere to best practices and meet project deadlines. Qualifications Bachelors degree in computer science, Engineering, or a related field. 6-7 years of experience in data engineering roles, with a focus on AWS cloud platforms. Strong understanding of data warehousing and data lake concepts. Proficiency in SQL and at least one programming language ( Python/Pyspark ). Good to have - Experience with any big data technologies like Hadoop, Spark, and Kafka. Knowledge of data modeling and data quality best practices. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a team. Preferred Qualifications Certifications in AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Data. Mandatory Competencies Big Data - Big Data - Pyspark Data on Cloud - Azure Data Lake (ADL) Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - AWS - AWS S3, S3 glacier, AWS EBS Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Database - Sql Server - SQL Packages Data Science and Machine Learning - Data Science and Machine Learning - Python

3-5 years of Professional experience designing/building/maintaining highly available data and analytics platform. 3+ years of experience in data engineering, with a focus on building large-scale data processing systems. Hands-on experience with AWS or similar cloud platform building data engineering solutions for analytics and science. (2+ years) Must have experience building complex data pipelines - batch and/or real time event-based processing (2+ years) Strong experience in designing, building and maintaining data warehouse in Redshift or similar cloud-based solutions. (2+ years) Experience in Matillion or similar ETL/ELT tool for developing data ingestion and curation flow (2+ years) Must have strong hands-on experience in SQL. (2+ years) Strong hands-on experience in modern scripting languages using Python. (2+ years) Experience building complex ETL using Spark (Scala or Python) for event based big data processing (1+ years) Strong hands-on experience with NoSQL DBs - MongoDB, Cassandra or DynamoDB (1+ years) Strong experience with AWS deployment using CI/CD pipeline is preferred. (1+ years) Experience in infrastructure as a code services like Terraform preferred. (1+ years) Experience building mission critical systems, running 24x7. Desire to work within a team of engineers at all levels of experience. Desire to mentor junior developers, maximizing their productivity. Good written and spoken communication skills. Bangalore Karnataka India

THIS MESSAGE IS FOR THE WHOLE WORLD : "What Israel is doing in Palestine is not just a human rights violation it is a blatant genocide broadcast to the world. Children are being slaughtered, homes are being destroyed, and a nation is being robbed of its right to exist before our eyes. This is not a war, this is a massacre. The world has chosen to be silent, the media has chosen to be biased, and the major powers have chosen to be cowards. Israel is not a victim it is a brutal occupier who has made bloodshed the basis of its policies. Nothing justifies mass murder in the name of 'self-defense.' The Palestinian people do not need pity, they need justice. And we, as human beings, have a duty to speak up. Silence is an accomplice." "Israel burns homes, kills children, destroys hospitals and America gives them bullets. This is not a conflict, this is a superpower-sponsored genocide. The world must fight back." Job Description ParanoidHax Group #FREE_PALESTINE #WE_ARE_INDONESIA_HACKER #WE_ARE_PARANOIDHAX Before 08/05/2025 Job Details Exp: 0 to 5 years Salary: 1 to 30 LPA Apply Before: 08/05/2025 Recaptcha requires verification. Register to Upskill A world-class EdTech platform We use cookies to make interactions with our websites and services easy and meaningful. Please read our Privacy Policy for more details.

We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2+ years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable. Primary Responsibilities: Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data Build, tune, and evaluate machine learning models for predictive and prescriptive analytics Conduct drift analysis to monitor model performance and ensure accuracy over time Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field 10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar role Hands-on experience in delivering production-grade AI/ML projects Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Solid understanding of mathematical and statistical concepts Solid programming skills in Python, with experience in pandas, numpy, and SQL Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Proven excellent problem-solving and analytical thinking skills Proven solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications: Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #nic

Responsibilities Date posted 07/11/2025 End Date 07/15/2025 City Pune State/Region Maharashtra Country India Additional Locations Chennai, Tamil Nadu Location Type Onsite Calling all innovators find your future at Fiserv. Job Title Advisor, Statistical Analysis Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, preferably in the payments or fintech industry. Proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Strong understanding of payment systems, transaction flows, and fraud detection techniques. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP, Azure). Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary Design, develop, and maintain scalable big data solutions. Implement data processing pipelines using PySpark and Hadoop. Develop and optimize SQL queries for data extraction and analysis. Manage and maintain HDFS for efficient data storage and retrieval. Responsibilities Utilize Hive for data warehousing and querying. Collaborate with data scientists and analysts to understand data requirements and deliver solutions. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data workflows to ensure optimal performance Mandatory skill sets Proficiency in Python Strong programming skills in Python for data manipulation and analysis. SQL Expertise Advanced knowledge of SQL for querying and managing databases. PySpark Experience with PySpark for big data processing. Hadoop Handson experience with Hadoop ecosystem components. Hive Basics Understanding of Hive for data warehousing and querying. HDFS Proficiency in HDFS for data storage and management Preferred skill sets Hands on experience for SAP BW for almost 47 years of experience. ProblemSolving Skills Ability to solve complex data problems and optimize workflows. Collaboration Strong communication and teamwork skills to work effectively with crossfunctional teams. Years of experience required 47 years experience on SAP BW. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred Required Skills Extract Transform Load (ETL), Structured Query Language (SQL) Development Amazon Web Services (AWS), Microsoft Azure No

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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview As a Senior AI Engineer in Data Sciences, you will play crucial role in designing , implementing, and optimizing the AI solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Content Creation team within Data Sciences will help build AI solutions leveraging GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests. P osition Overvie w Support Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives , ensuring high performance and scalability. Performance Tuning & Optimization Identify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling Strategies Support the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Masters in Computer Science or o ver 3 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Experience in working with image, text data, embeddings , building & deploying vision models , integrating with Gen AI services Experience working with Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries Hands-on experience in libraries like NumPy, SciPy, Pandas, OpenCV, SpaCY , NLTK is expected Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Experience working on GPU s is preferred Experience optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform) Expertise in MLOps frameworks and hands on experience in MLOps tools like Kubeflow, MLFlow or Sagemaker Excellent problem-solving skills combined with strong analytical abilities. Know More 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

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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Right along with Targets 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 whos curious about the guest and can see the shopping journey through their eyesThen youll have success on the Digital Strategy & Platform team, whose goal is to offer guests a seamless online shopping experience across our platformsincluding Target.com and the store networks fulfillment capabilities. Here, youll 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 ascustomer 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 asinspire 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 experiencewith 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 Targethttps://india.target.com/ Benefitshttps://india.target.com/life-at-target/workplace/benefits Culture https://india.target.com/life-at-target/belonging

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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Target as a tech companyAbsolutely. Were the behind-the-scenes powerhouse that fuels Targets passion and commitment to cutting-edge innovation. We anchor every facet of one of the worlds best-loved retailers with a strong technology framework that relies on the latest tools and technologiesand the brightest peopleto deliver incredible value to guests online and in stores. Target Technology Services is on a mission to offer the systems, tools and support that guests and team members need and deserve. Our high-performing teams balance independence with collaboration, and we pride ourselves on being versatile, agile and creative. We drive industry-leading technologies in support of every angle of the business, and help ensure that Target operates smoothly, securely and reliably from the inside out. Role overview As a Lead 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. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As a Lead Engineer, youll take the lead as youUse your technology acumen to apply and maintain knowledge of current and emerging technologies within specialized area(s) of the technology domain. Evaluate new technologies and participates in decision-making, accounting for several factors such as viability within Targets technical environment, maintainability, and cost of ownership. Initiate and execute research and proof-of-concept activities for new technologies. Lead or set strategy for testing and debugging at the platform or enterprise level. In complex and unstructured situations, serve as an expert resource to create and improve standards and best practices to ensure high-performance, scalable, repeatable, and secure deliverables. Lead the design, lifecycle management, and total cost of ownership of services. Provide the team with thought leadership to promote re-use and develop consistent, scalable patterns. Participate in planning services that have enterprise impact. Provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate. Gather information, data, and input from a wide variety of sources; identify additional resources when appropriate, engage with appropriate stakeholders, and conduct in-depth analysis of information. Provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate. Develop plans and schedules, estimate resource requirements, and define milestones and deliverables. Monitor workflow and risks; play a leadership role in mitigating risks and removing obstacles. Lead and participate in complex construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements met. Establish new standards and best practices to monitor, test, automate, and maintain IT components or systems. Serve as an expert resource in disaster recovery and disaster recovery planning. Stay current with Targets technical capabilities, infrastructure, and technical environment. Develop fully attributed data models, including logical, physical, and canonical. Influence data standards, policies, and procedures. Install, configure, and/or tune data management solutions with minimal guidance. Monitor data management solution(s) and identify optimization opportunities About you: Bachelor's degree (or equivalent experience) in Computer Science, Engineering, or related field. 7+ years of hands-on software development experience, including at least one full-cycle project implementation. Expertise in Targets technology landscape, with a solid understanding of industry trends, competitors products, and differentiating features. Proficient in Kotlin with advanced knowledge of Microservices architecture and Event-driven architectures . Strong experience with high-priority, large-scale applications capable of processing millions of records. Proven ability to design and implement highly scalable and observable systems . Working on mission-critical applications with large transaction volumes and high throughput. Building systems that are scalable , with a focus on performance and resilience. Leveraging cutting-edge tools for data correlation and pattern analysis. Experience with Scala , Hadoop , and other Big Data technologies is preferred Strong retail domain knowledge with experience working on multi-channel platforms. Hands-on experience with high-performance messaging platforms that are highly scalable. Useful Links: Life at Targethttps://india.target.com/ Benefitshttps://india.target.com/life-at-target/workplace/benefits Culture https://india.target.com/life-at-target/belonging

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 lead 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. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As a Lead Engineer, youll take the lead as you Use your technology acumen to apply and maintain knowledge of current and emerging technologies within specialized area(s) of the technology domain. Evaluate new technologies and participates in decision-making, accounting for several factors such as viability within Targets technical environment, maintainability, and cost of ownership. Initiate and execute research and proof-of-concept activities for new technologies. Lead or set strategy for testing and debugging at the platform or enterprise level. In complex and unstructured situations, serve as an expert resource to create and improve standards and best practices to ensure high-performance, scalable, repeatable, and secure deliverables. Lead the design, lifecycle management, and total cost of ownership of services. Provide the team with thought leadership to promote re-use and develop consistent, scalable patterns. Participate in planning services that have enterprise impact. Provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate. Gather information, data, and input from a wide variety of sources; identify additional resources when appropriate, engage with appropriate stakeholders, and conduct in-depth analysis of information. Provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate. Develop plans and schedules, estimate resource requirements, and define milestones and deliverables. Monitor workflow and risks; play a leadership role in mitigating risks and removing obstacles. Lead and participate in complex construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements met. Establish new standards and best practices to monitor, test, automate, and maintain IT components or systems. Serve as an expert resource in disaster recovery and disaster recovery planning. Stay current with Targets technical capabilities, infrastructure, and technical environment. Develop fully attributed data models, including logical, physical, and canonical. Influence data standards, policies, and procedures. Install, configure, and/or tune data management solutions with minimal guidance. Monitor data management solution(s) and identify optimization opportunities. 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 or equivalent experience. 7+ years of software development experience with at least one full cycle implementation. Demonstrates strong domain-specific knowledge regarding Targets technology capabilities, and key competitors products and differentiating features. Demonstrates broad and deep expertise in multiple computer languages and frameworks (e.g., open source). Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure. Communicates and coordinates with project team, partners, and stakeholders. Demonstrates expertise in analysis and optimization of systems capacity, performance, and operational health. Understands and develops solutions to foster data lifecycle management. Maintains deep technical knowledge within areas of expertise. Stays current with new and evolving technologies via formal training and self-directed education. Experience in building highly scalable distributed systems. Lead a team in designing, developing, deploying and managing Large scale Data Platforms . Expertise in open source or cloud based Big data platforms. Demonstrates expertise in optimization of systems and analysis in capacity, performance, and scalability aspects . Proven record of delivering solutions and operations on complex infrastructure or platform as a service. Ability to influence large user base and stakeholders around strategic initiatives, including tech debt and migrations. Experience in driving Automation, Process improvements and Observability workstreams.

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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid O verview As a Lead AI Engineer in Data Sciences, you will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R ) and learn and adhere to best practices in data analysis and data understanding. Team Overview The Content Creation team within Data Sciences will help build AI solutions leveraging GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests . Position Overvie w Lead Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives , ensuring high performance and scalability. Performance Tuning & Optimization Identify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Mentor Junior EngineersProvide guidance and mentorship to team members on best practices in coding standards, architectural design, and machine learning techniques. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling StrategiesLead the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Masters in computer science or equivalent industry experience Over 6 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency in production environments at scale. Experience in working with image, text data, embeddings , building & deploying vision models , integrating with Gen AI services Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks or Diffusion Models is desirable Hands-on experience in libraries like NumPy, SciPy, Pandas, OpenCV, SpaCY , NLTK is expected Experience in optimizing ML model performance using techniques such as hyperparameter tuning, feature selection, and distributed training Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Experience working on GPU s is preferred Proven track record of optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform) Expertise in MLOps frameworks and hands on experience in MLOps tools like Kubeflow, MLFlow or Sagemaker Deep understanding of system architecture principles related to scalability and robust application design. Excellent communication, problem-solving skills combined with strong analytical abilities. Proven leadership skills with experience mentoring junior engineers effectively Know More 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

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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Our global in-house technology team of more than 5,000 of engineers, data scientists, architects, coaches and product managers strive 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 guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. Pyramid Overview Our Product Engineering teams fuel Targets business with cutting-edge technology to deliver incredible experiences and value for guests and team members. Using a responsive architecture platform, we build and deploy industry-leading technology enabling Target to operate efficiently, securely, and reliably from the inside out. We work across Target, developing comprehensive product strategies, leveraging enterprise and guest feedback to set the standard for best in retail. Position Overview 4+ years of experience in software design & development with 3+ years of experience in building scalable backend applications using Java Demonstrates broad and deep expertise in Java/Kotlin and frameworks. Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure. Communicates and coordinates with project team, partners, and stakeholders. Demonstrates expertise in analysis and optimization of systems capacity, performance, and operational health. Maintains deep technical knowledge within areas of expertise. Stays current with new and evolving technologies via formal training and self-directed education. Experience integrating with third party and opensource frameworks. About You 4 year degree or equivalent experience Experience4 -7 years Programming experience with Java - Springboot & Kotlin - micronaut Strong problem-solving skills with a good understanding of data structures and algorithms. Must have exposure to non-relational databases like MongoDB. Must have exposure to distributed systems and microservice architecture. Good to Have exposure to Data Pipeline, ML Ops, Spark, Python Demonstrates a solid understanding of the impact of own work on the team and/or guests Writes and organizes code using multiple computer languages, including distributed programming and understand different frameworks and paradigm Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency) Influences and applies data standards, policies, and procedures Maintains technical knowledge within areas of expertise Stays current with new and evolving technologies via formal training and self-directed education. Know More 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/ Target in india Belonging

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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys 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 ascustomer 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 asinspire 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 experiencewith 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 Targethttps://india.target.com/ Benefitshttps://india.target.com/life-at-target/workplace/benefits Culturehttps://india.target.com/life-at-target/belonging

Lead Data Analyst 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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a part of the Merchandising Analytics and Insights team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners and engineers. They support all Merchandising strategic initiatives with data, reporting and analysis. Merchandising teams rely on this team of analysts to bring data to support decision making. PRINCIPAL DUTIES AND RESPONSIBILITIES As a Lead Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will lead an agile team which requires active participation in ceremonies and team meetings. In this role, youll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiatives requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leveraging in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability are still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs. Key Responsibilities *: Work with MC, Merch, Planning, Marketing, Digital, etc. teams to use data to identify opportunities, bridge gaps, and build advanced capabilities Partner with Product, DS, DE, etc. to determine the best approach to gather, model, manipulate, analyze and present data Develop data and metrics to support key business strategies, initiatives, and decisions Explore data, technologies, and the application of mathematical techniques to derive business insights Desired Skills & Experiences *: Ability to breakdown complex problems, identify root cause of the issue, and develop sustainable solutions Ability to influence cross-functional teams and partners at multiple levels of the organization Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education About you (In terms of technical) B.E/B.Tech,M.Tech,M.Sc. , MCA - Overall 8-12 years of experience. And 6-8 years data ecosystem experience. Strong Architect of data capabilities and analytical tools. Proven experience to architect enterprise level Datawarehouse solutions and BI Implementations across Domo, Tableau & other Visualization tools. Provide expertise and ability to train and guide team to implement top design architectures to build next generation analytics Deep Big data experience. Should have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, experience in developing Hive and PySpark SQL and designing and developing Oozie workflows. Hands on experience in object oriented or functional programming such as Scala &/or Python/R or other open-source languages Strong foundational mathematics and statistics Experience in analytical techniques like Linear & Non-Linear Regression, Logistic Regression, Time-series models, Classification Techniques etc (In terms of soft skills for lead role) Strong stakeholder management with product teams and business leaders. Has strong problem solving, analytical skills and ability to manage ambiguity. Ability to communicate results of complex analytic findings to both technical /non-technical audiences and business leaders. Ability to lead change, work through conflict and setbacks . Experience working in an agile environment (stories, backlog refinement, sprints, etc.). Excellent attention to detail and timelines. Strong sense of ownership. Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education 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

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 Target In India At Target, we have a timeless purpose and a proven strategy. And that hasnt 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 Targets global team and has more than 4,000 team members supporting the companys 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, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in Promotions . Promotions are a critical lever in driving price perception and delivering exciting deals to our guests. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals withpricing and promotions experienceand engineering skills who can solutions at scale. If you are that person, you can expect to be involved in: Defining, developing and integrating modules foralgorithmic decision makingwith thepricing systems. Influencing roadmaps and driving its execution with a team of talented scientists. Developing and integrating Datascience models with Pricing platformand collaborating with engineers and science team to bring it to life. Position Overview As Senior Engineer, you will join a Target Tech team responsible for Promotion forecasting and optimization. You will play crucial role in designing, implementing, and optimizing the machine learning solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. 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. Core responsibilities of this job are articulated 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 MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/ or Python/Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Familiarity with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development Know More 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

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 Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. Its how we care, grow, and win together. About the Team Roundel, Targets retail media network, provides leading digital advertising solutions that connect brands with millions of Target guests in a premium and brand-safe environment. With deep insights from Targets customer base, Roundel helps advertisers drive engagement and measurable sales both online and in-store. As a Sr Product Ops Analyst within Roundel, you'll play a critical role in improving product performance and driving business outcomes. The role involves conducting exploratory data analysis to identify opportunities, building and maintaining key reports and dashboards, and working closely with Product Owners to detect and resolve product issues. You will also collaborate with Data Engineering and Data Science teams to implement new processes, activate predictive models, and enhance existing workflows. This position requires a strong test-and-learn mindset and the ability to navigate a fast-paced, evolving retail media landscape. Your efforts will directly support Roundels broader objectives by uncovering insights, addressing data quality issues, and ensuring products deliver consistent, high-impact results. Principal Duties & responsibilities Build reports using existing data to monitor key product metrics. Perform data analysis and research to identify opportunities for improving product performance. Support the design of product strategies and leverage technology to drive product efficiency. Partner with cross-functional teams such as Data Science, Engineering, Product Operations, and Business teams to execute key product initiatives and support Roundel products. Partner with product managers in product implementation plans and build roadmaps. Gather, review, and analyse data to answer business questions and guide decisions aimed at improving the Roundel product portfolio. Develop and monitor Product Health metrics that Product Managers use to track performance. Test, monitor, and measure new features in production to ensure they function as expected. Demonstrate comfort with ambiguity and apply a test-and-learn mindset. Analyse trends to uncover potential product issues and opportunities to enhance existing features. Proactively identify opportunities for improving product efficiency. Partner with the global Product Operations team to advocate for and implement best practices, processes, routines, and tools. Reporting/ Working relationshipsReports to Sr. Manager Prod Operations Analytics Job requirements Graduate in any discipline with 4-8 years experience in math, statistics, business Expertise in SQL querying and performing analytical operations on big data Understanding and hands on experience on visualization tools like Power BI, Domo, Lookr (or similar) Knowledge of data transformation using Python or R Passion for using data to explain or solve complex business problems and influence invention of new systematic and operational processes Problem solving skills and ability to multi-task Ability to communicate findings clearly and concisely Proven experience achieving results by leading, partnering, and influencing others Knowledge in Microsoft Excel, Word, PowerPoint (or similar) applications required

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 3-5+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on Azure Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Exposure to streaming solutions and message brokers like Kafka technologies Experience Unix / Linux Commands and basic work experience in Shell Scripting Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

As a Technical Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a highly skilled and experienced IIoT (Industrial Internet of Things) Engineer with a strong focus on OPC UA (Unified Architecture) and companion specifications, as well as expertise in edge computing. The ideal candidate will play a crucial role in designing, implementing, and maintaining IIoT solutions that enhance the efficiency, reliability, and security of industrial operations Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Able to write complex SQL queries Having experience in Azure Databricks Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Able to write complex SQL queries Having experience in Azure Databricks Preferred technical and professional experience Excellent communication and stakeholder management skills