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Top Data Science Jobs in Chennai
As Vice President of Global Data Strategy and Governance, you will develop and implement a data strategy and governance framework for the Risk Management division within Asset Wealth Management. Your role includes collaborating with stakeholders, leading teams, ensuring compliance, and driving data management initiatives to transform credit risk operations into a data-driven organization.
The Staff Data Scientist will develop credit risk and fraud models for the Motive Card by collaborating with Risk, Product, and Engineering teams. Responsibilities include deriving insights from data, applying statistical techniques, evaluating new data sources, and ensuring effective model deployment.
The Associate Data Scientist role at MetLife involves working with data to deliver insights and support business decisions. The position likely includes data analysis, model development, and collaboration with cross-functional teams.
The Senior Analyst will support the Data Science team in Data Visualization analytics, developing interactive dashboards using tools like Power BI and GIS. Responsibilities include extracting and integrating large datasets, collaborating with stakeholders to provide actionable insights, and enhancing existing processes based on emerging data visualization techniques.
As a Senior Analyst in Data Science, you will develop econometric and ML solutions for public sector challenges. Responsibilities include creating insights from data, preparing economic reports, and communicating analytical results to stakeholders. You will engage in modeling, validation, and implementation of predictive algorithms while working collaboratively across teams.
The Analyst II will support the Data Science team by performing statistical analyses, managing data ingestion and API integration, and creating business reports. This role emphasizes collaboration, developing solutions for clients, and leveraging modern analytic techniques to ensure high customer satisfaction.
The Senior Analyst in Data Science will support the Data Science team by designing and developing analytical solutions, extracting data using tools like Python and SQL, generating insights, and implementing predictive solutions. The role requires collaboration with global stakeholders and technology teams to fulfill deliverables timely.
The Senior Analyst, Data Science role at Dun & Bradstreet involves working on analytical solutions that include implementation, testing, and validation. Responsibilities include extracting and analyzing large data sets using Python, Pyspark, and SQL, creating data pipelines, and deploying AI/ML models. The role requires collaboration with multiple teams to provide business insights through data interpretation.
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The senior associate will contribute to complex statistical programming deliverables, mentor junior programmers, and collaborate with study teams while ensuring compliance with programming standards. They will manage multiple projects while contributing to self-learning and the development of data standards.
The Data Scientist role involves building and managing AI-led data science solutions, with a focus on Generative AI. Responsibilities include collaborating with teams to develop innovative products, conducting R&D for new capabilities, and handling complex analytics projects. Candidates should possess experience in AI/ML and work with frameworks like LLMs, as well as proficiency in Python.
As a Data Scientist at KANTAR, you will leverage AI and ML techniques, particularly Generative AI, to build and manage innovative data science solutions. You'll collaborate with cross-functional teams, develop proofs of concept, and help scale solutions using the latest AI technologies. This role requires strong hands-on experience with LLMs and machine learning methodologies.
As a Senior Data Scientist, you will develop machine learning models for risk and fraud management, automate monitoring tools, and create data pipelines. You'll lead projects that drive business value, engage with compliance and risk management teams, and leverage alternative data to optimize marketing strategies.
The Senior Data Scientist will develop data science and machine learning solutions, apply advanced algorithms to large datasets, and support business stakeholders in understanding the value of these solutions. Responsibilities include collaborating with team members, following best practices in machine learning, and contributing to innovation in the field.
The Lead Data Scientist will lead projects utilizing NLP techniques for name and address matching, develop advanced models, collaborate with teams, conduct research, mentor junior staff, and ensure adherence to data privacy standards.
The Senior Data Scientist II will drive data science initiatives at Poshmark, focusing on projects like feed personalization and recommendation systems. The role involves collaboration with cross-functional teams to design and deploy machine learning models, manage the ML lifecycle, and explore emerging AI trends.
The Senior Data Scientist will develop, fine-tune, and deploy machine learning models, engaging with stakeholders to understand requirements, managing projects, and delivering insights to solve business problems. Essential skills include advanced machine learning, Python programming, and effective team collaboration.
The Data Scientist position requires an individual with significant experience in applications development, working independently to code, test, debug, and implement software applications. The role involves liaising with clients to understand their requirements and developing applications using various technologies.
As a Data Scientist on the Analytical Solutions team, you will manage custom analysis and data projects, develop statistical tools, and present findings to clients. You will work with large data sets, employing statistical methodologies to produce actionable insights and improve data products.
The Data Scientist will drive product analytics for PayPal's P2P payments, focusing on data-driven decision making, A/B testing, and analyzing user behavior. Responsibilities include performing deep dive analyses, creating actionable insights, and leading cross-functional projects to enhance consumer experiences.
The Data Scientist will analyze large datasets to generate insights, support product launches, and evaluate product performance using A/B testing. The role involves translating business problems into actionable analyses and creating dashboards for monitoring key metrics. Candidates must have strong analytical skills and experience in data visualization.
The Credit Data Scientist will develop and manage credit models for innovative products, ensuring alignment with strategic goals and collaborating with product managers and engineers. Responsibilities include building from the ground up, utilizing machine learning, conducting experiments, and guiding the team in extracting insights from complex datasets.
The Staff Data Scientist will design data-driven strategies for optimizing ad effectiveness on native Android platforms, implement predictive models for ad targeting, analyze user behavior, and provide mentorship to junior data scientists, ensuring alignment with business objectives and user experience goals.
As a Data Scientist at Turing, you will analyze data to drive improvements in products and operations. You will define success metrics, perform statistical analysis, create dashboards, and present insights to both technical and non-technical stakeholders. You'll thrive in a fast-paced environment, collaborating with product leadership to influence strategy.
The Senior Data & AI Specialist at IOTA will perform data analysis, develop machine learning models, create visualizations, and optimize data processes. Key responsibilities include collaboration with cross-functional teams to align product strategies with technological capabilities and customer needs.
The Senior Data Scientist will leverage data and analytics to tackle complex business challenges, build predictive models, and provide actionable insights to senior sales leaders. Responsibilities include managing analytical projects, supporting sales analytics, and collaborating cross-functionally to drive business outcomes through data-driven recommendations.
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