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Top Data Science Jobs in Mumbai
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 Associate Data Science role involves collaborating with stakeholders to develop NLP and ML solutions for enhancing investment processes. Key responsibilities include applying machine learning techniques, collecting datasets, performing experiments, monitoring models, and presenting results to stakeholders.
Manager role in Marketing and Market Research at Pfizer, an equal opportunity employer. Job responsibilities include leading data science and AI projects related to marketing strategies.
The Engineering Manager for Data Science and Machine Learning will lead a team in executing AI and ML initiatives focused on data collection, providing technical leadership in systems and model development while mentoring engineers. Responsibilities include overseeing data pipeline engineering, driving innovation, ensuring system integrity, collaborating cross-functionally, and fostering a high-performance team culture.
The Sr Data Scientist will identify channels for engagement, define IP monetization strategies, and develop prototypes leveraging AI/ML and other technologies. Responsibilities include designing experiments, improving innovation through patent filings, and publishing research in prestigious conferences, all while emphasizing engineering within AI innovation.
The Lead Data Scientist will develop and enhance indoor map automation algorithms, collaborating with cross-functional teams, and mentoring team members. Responsibilities include data analysis, model development, and deploying models in cloud environments using Docker and Kubernetes.
The Senior Data Scientist will design and develop AI/ML solutions, promote best practices in object-oriented designs, and ensure continuous integration. This role requires expertise in Python and data science principles, as well as experience in AWS services, with responsibilities spanning data cleaning, modeling, and deployment.
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.
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As a Data Scientist in Visa's Consulting and Analytics team, you will support data science engagements, develop dashboards, provide data-driven insights for clients, and optimize data solutions. Responsibilities include managing multiple projects, communicating findings, and enhancing client relationships through data innovation.
As a Data Scientist, you will analyze large data sets to identify trends and patterns, perform root cause analysis, and develop key performance indicators. Your role involves using various analytical tools and techniques to produce insights that help the business adapt to changing conditions, along with developing AI capabilities for commercial reporting.
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 Data Scientist at PitchBook will leverage machine learning, deep learning, and natural language processing to analyze vast data sets and derive insights that enhance user experience on the PitchBook Platform. Responsibilities include developing models, improving data decision-making processes, and collaborating with teams to integrate AI solutions while ensuring efficient project completion.
As a Senior Manager in Data Science at Visa, you will lead data science engagements, collaborating with clients to deliver AI-driven solutions, manage projects, and provide strategic insights. Responsibilities include designing analytics solutions, overseeing project execution, and mentoring team members in advanced data science practices.
The Data Scientist II role involves manipulating large datasets, applying statistical analysis and machine learning techniques to derive insights, and designing machine learning models for financial applications. Responsibilities also include performance monitoring of models and presenting findings to stakeholders.
The Senior Data Scientist will manipulate large datasets and apply various technical and statistical analysis techniques, as well as machine learning and deep learning methods to develop and implement models for financial applications. The role includes presenting findings, proposing solutions, and improving machine learning model performances.
The Senior Data Scientist will lead machine learning projects, design models for financial applications, and improve model performance. The role involves presenting findings to stakeholders, leveraging machine learning best practices, and providing innovative solutions within the data science field.
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 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 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.
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