216 Predictive Jobs - Page 8

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

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. 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

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 Target in India 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. About the Role As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc Key Responsibilities Data Pipeline and MaintenanceMonitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and ResolutionDrive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process ImprovementIdentify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and CommunicationWork closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and GovernanceImplement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and ReportingCreate and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About You B.Tech / B.E. or equivalent (completed) degree 5+ years of relevant work experience Experience in Marketing/Customer/Loyalty/Retail analytics is preferable Exposure to A/B testing Familiarity with big data technologies, data languages and visualization tools Exposure to languages such as Python and R for data analysis and modelling Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques. Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences. Ability to identify process and tool improvements and implement change Excellent written and verbal English communication skills for Global working Motivation to initiate, build and maintain global partnerships Ability to function in group and/or individual settings. Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives 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. 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/

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.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working 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 behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As an Data Engineer 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 behaviours’. 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 Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another 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

Responsible for preventive & breakdown maintenance for plant equipment, Utilities & Maintenance preventive, predictive and breakdown, Material indenting & inventory control.QMS, Team handling. Water Treatment dept. consist of Reverse Osmosis (R.O Plant), De-Mineralize Plant (D.M Plant), Cooling Towers (Induced draught), and Softeners etc. Looking after Operation and Maintenance activities of PSA Nitrogen plant of capacity . Maintenance of Reactors , Autoclaves , High Vacuum Ejector Systems , Centrifuges, Rotary vacuum Dryers. Operation & Maintenance of thermo pack boilers Shut down activities of plant and related jobs

Data Scientist Chennai - Guindy, India Information Technology 17006 Overview Data Scientist job description typically involvescollecting, cleaning, analyzing, and interpreting large datasets to uncover insights and build predictive models.He should use data visualization tools to present findings, make recommendations, and communicate their work to stakeholders. Responsibilities Data Collection and Preparation: Gather data from various sources, clean and preprocess it, and transform it into a usable format for analysis. Data Analysis: Conduct exploratory data analysis (EDA), identify patterns and trends, and use statistical methods to extract meaningful insights. Model Building: Develop and implement machine learning algorithms and predictive models to solve business problems. Data Visualization: Create clear and informative visualizations to present findings and communicate insights to stakeholders. Communication: Clearly communicate findings, recommendations, and the implications of data-driven decisions to both technical and non-technical audiences. Problem Solving: Identify business problems, develop data-driven solutions, and evaluate the effectiveness of proposed solutions. Requirements Programming: Proficiency in languages like Python and R, as well as familiarity with data manipulation libraries (e.g., Pandas, NumPy). Statistics and Probability: A strong foundation in statistical concepts, probability distributions, and hypothesis testing. Machine Learning: Knowledge of various machine learning algorithms, model selection, and evaluation techniques.

ventureit global solutions is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Findability Sciences is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Sberbank is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Responsibilities Lead the design, development, and deployment of machine learning and GenAI models with a strong focus on AWS AI architecture. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Provide technical leadership and mentorship to the data science team. Conduct research and stay updated on the latest advancements in machine learning and artificial intelligence. Drive the implementation of best practices for data collection, preprocessing, and model evaluation. Communicate effectively with stakeholders to understand their requirements and translate them into actionable data science projects. Contribute to the development of data science strategies and roadmaps. Skill Requirements A minimum of 10+ years of experience in data science, with a focus on machine learning and artificial intelligence. Proven track record of leading and delivering complex data science projects. Expertise in building and deploying machine learning and GenAI models at scale using AWS AI services. Strong programming skills in languages such as Python, R, or Java, with proficiency in leveraging AWS AI SDKs and APIs. In-depth knowledge of statistical modeling, data mining, and predictive analytics. Mandatory Skills: Data Science. Experience5-8 Years.

Job Title ServiceNow Architect. Job Summary : We are seeking a highly skilled ServiceNow Architect with expertise in IT Operations Management (ITOM) or IT Asset Management (ITAM) to design, implement, and optimize ServiceNow solutions. The ideal candidate will work closely with stakeholders to define requirements, create scalable architectures, and drive automation for IT services and asset management. Key Responsibilities : Solution Architecture & DesignDesign and implement scalable, secure, and efficient ServiceNow solutions aligned with business needs. ITOM/ITAM ExpertiseDevelop and enhance CMDB, Discovery, Event Management, Orchestration, Asset Management, and Software License Management processes. Integration & AutomationIntegrate ServiceNow with third-party applications, cloud platforms, and enterprise systems using APIs, MID servers, and automation tools. Governance & Best PracticesDefine standards for configuration, development, and deployment to maintain performance, compliance, and security. Stakeholder CollaborationWork with IT teams, business units, and leadership to gather requirements, develop roadmaps, and ensure alignment with organizational goals. Customization & DevelopmentLead scripting, UI policies, workflows, and business rules development to enhance ServiceNow capabilities. Performance OptimizationMonitor and improve system performance, ensuring high availability and efficient data management. Training & DocumentationProvide guidance to developers and administrators, create documentation, and conduct training sessions as needed. Required Skills & Qualifications :- 5+ years of ServiceNow experience, with a focus on ITOM or ITAM.- Strong understanding of ServiceNow CMDB, Discovery, Event Management, Orchestration, Asset Management, and SAM.- Experience integrating ServiceNow with cloud platforms (AWS, Azure, GCP), monitoring tools, and ITSM solutions.- Expertise in JavaScript, REST/SOAP APIs, Web Services, and Flow Designer.- Strong knowledge of ITIL, ITSM, and industry best practices.- ServiceNow Certified System Administrator (CSA) required; CIS-ITOM, CIS-ITAM, or ServiceNow Architect certifications preferred.- Hands-on experience with MID Server deployment and Service Graph Connectors.- Excellent problem-solving, communication, and stakeholder management skills. Preferred Qualifications :- Experience with AIOps, Predictive Intelligence, and Cloud Management within ServiceNow.- Familiarity with hardware/software asset lifecycle management and procurement workflows.- Background in enterprise IT environments with experience in networking, security, and infrastructure. Why Join Us .- Opportunity to work on cutting-edge ServiceNow implementations.- Collaborative and innovative work environment.- Competitive salary, benefits, and career growth opportunities.ApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Notice Period: Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, and pipeline automation Key Responsibilities: Design and deploy predictive & GenAI solutions for real-world business use cases Build and optimize LLM-based workflows for summarization, retrieval, and Q&A Collaborate with cross-functional teams to define use cases and develop proof-of-concepts Translate business problems into ML/GenAI solutions and deliver outcomes Validate, compare, and optimize models for performance and scalability Apply basic ML Ops practices to ensure smooth deployment and monitoring of models Contribute to reusable pipelines, prompt tuning strategies, and production integration Present actionable insights and models to stakeholders clearly and effectively

Requirements & Qualifications: Bachelors or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline. Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning. 3-6 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare. Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning. Hands-on experience developing and deploying machine learning models in real-world applications. Strong understanding of deep learning techniques, especially in the domains of computer vision or ML is good to have. Familiarity with PySpark and Databricks is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.Role & responsibilities

Assar Vehicle Rental Services Private Limited is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

KDataScience (USA & INDIA) is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Skill required: Financial Planning & Analysis - Financial Planning and Analysis (FP&A) Designation: Financial Plan & Analysis Manager Qualifications: Chartered Accountant/Master of Business Administration Years of Experience: 13 to 18 years What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.Financial planning, reporting, variance analysis, budgeting and forecastingFinancial planning and analysis (FP&A) refers to the processes designed to help organizations accurately plan, forecast, and budget to support the company s major business decisions and future financial health. These processes include planning, budgeting, forecasting, scenario modeling, and performance reporting. What are we looking for? Professional Qualification CA/ MBA/CFA/CMA preferred with high degree of proficiency in usage of SAP, Oracle, SQL Server) . Candidates with Reporting. Certification and Experience is preferred. Experience in Client Interfacing role as well as team handling role would be an added advantage. proficiency in usage of SAP, Oracle, SQL Server , Advance Excel FP&A Experience to include budgeting, forecasting, variance analysis of revenue, working capital, gross margin & SG&A, pricing, and predictive reportingIndustry & Domain experience Strong FP&A experience required in Banking, Manufacturing, Retail or Consumer goods industry FP&A Experience to include budgeting, forecasting, variance analysis of revenue, working capital, gross margin & SG&A, pricing, and predictive reporting Experience in database development and report creation (preferred). Broad knowledge, experience and understanding of financial services operations. Experience within the information delivery environment with a working knowledge of information delivery systems and processes Experience with leading teams in a technical development environment. Understanding of financial reporting / management reporting and business intelligence. Management Accounting and Reporting – Delivery of various reporting containing Financial and Management Information sourced from multiple systems / platforms Roles and Responsibilities: Preparation of standard & Adhoc management reports for region, country, product, Service type etc. Provides standardized and insightful level of analyses is provided. Delivers ad hoc analyses. Supports Annual Operating Plan & forecasts Planning, Creating and managing reporting data and report out from various database systems. Provide professional expertise and direction to other team members and act as the focal point for business units and Technology by participating in key project initiatives. Also, as required, manage client communication, responding to queries, investigate irregularities and anomalies and provide technical support for day-to-day issues. Partners with reporting clients to understand their strategic goals, operational context and activities in order to explain results with strategic business insights and facts Use a diverse range of applications and understand the business and technical functionality of each application and its relevance to the business community. Provide support to all business units across the region, including product understanding, validation, problem/query resolution and coordination of communications. Uses storytelling principles to convey impactful messages Qualifications Chartered Accountant,Master of Business Administration

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? Data & AIDesign, develop and provide reports of exports and representations of pipeline data, sales results and other relevant data points. Assess pipeline status, and sales performance, identify trends and analyze root causes. What are we looking for? Must have hands on experience with working on large data to Build Insights and analyze sales trends. Ability to connect dots and weave data into story that drives outcomes. Eye for details and able to perform descriptive, diagnostics, prescriptive and predictive analysis Must be very strong on Advance xls, Microsoft office, Google sheets, SQL, Must have hands on experience on CRM particularly Sales force and very good understanding of Sales life cycle (incl. terms) and ability to build reports, dashboards from SFDC Able to understand data connections, clean the data and work with BI developers, ETL/Data management resource, Data scientists Lead multiple projects within Multiple Digital Inside Sales Projects Oversee the development and execution of project plans, ensuring alignment with business objectives and timelines. Seeking a strong Team Lead with knowledge in Sales Analytics/ Sales Operations domain and CRM data along with the below expected Skills/Experience. Good with either of Data modelling or visualization techniques (Power BI or Tableau dashboards) Collaborate with cross-functional teams to optimize Sales strategies, customer targeting, processes. Collaborate with sales leaders to enhance revenue generation, streamline processes, and improve decision-making. Coordinate project assignments, set clear goals, and monitor progress, ensuring deliverables are completed with high quality and within set deadlines. Provide guidance, mentorship, and leadership to the team, fostering a collaborative and high-performing work environment. Manage and guide consultants / Analysts. Lead and manage a team across multiple projects within Multiple Digital Inside Sales Projects. Oversee the development and execution of project plans, ensuring alignment with business objectives and timelines. Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved You will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualifications Any Graduation

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

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

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working 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 behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred.