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Top Data Science Jobs in India
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.
As a Senior Data Scientist at Walmart, you will tackle complex problems in supply chain using machine learning and statistical modeling. Responsibilities include developing production-level code for forecasting algorithms, collaborating with teams to assess customer needs, and adapting new technologies for business solutions, all while following Walmart's quality standards.
The AVP - Data Scientist will leverage data analytics and machine learning to extract insights for strategic decision-making, improve efficiency, and drive innovation. Responsibilities include data extraction, cleaning, pipeline development, and predictive modeling, as well as collaboration with stakeholders to maximize data value.
The Data Scientist will clean, organize, and analyze large datasets, producing models and visualizations to solve clients' issues. This role requires collaboration with teams, usage of statistical methods, and maintaining awareness of industry advancements while effectively communicating findings.
The Senior Data Scientist will independently design and implement complex data science projects, mentor junior team members, and lead the development of predictive models and machine learning solutions. This role requires strategic collaboration with stakeholders and the management of the full data pipeline to ensure high-quality and impactful solutions. Thought leadership and staying current with industry trends are also key responsibilities.
Data Scientist role focusing on enhancing data quality, applying Machine Learning and NLP expertise to impactful projects, collaborating with teams to build high-value data products, and impacting customer-facing processes.
As a Data Scientist II, you will develop and maintain NLP solutions, manage data science projects lifecycle, deliver production-ready Python code, and collaborate with technology teams for deployment. Key tasks include data collection, model development, quality assessment, and continuous improvement of data science pipelines.
The Lead Data Scientist will guide a team in machine learning and analytics modeling for predictive insights across various business functions. Responsibilities include developing and deploying scalable models, collaborating with stakeholders, and communicating complex analytic concepts.
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The Data Scientist will understand user journeys, analyze product data, provide insights for decision-making, perform statistical analysis, develop predictive models, and coordinate with teams to deploy AI/ML models. They will conduct analyses to support growth hacking and monitor model performance.
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As a Data Scientist at Equifax, you'll manipulate large data sets, develop analytical solutions, research predictive modeling techniques, and collaborate with software teams to ensure high-quality deliverables while contributing to team knowledge in machine learning.
The Senior Data Scientist will design, deliver, and innovate on products and features by leveraging AI and ML technologies. Responsibilities include analyzing large data sets, developing scalable predictive models, collaborating with cross-functional teams, mentoring engineers, and optimizing business operations. The role requires hands-on expertise in machine learning, data analytics, and scientific programming.
The Senior Associate Data Scientist is responsible for developing and optimizing the Customer Engagement Engine through data monitoring, validation, and automation. This role involves managing scoring processes for marketing campaigns and collaborating with cross-functional teams to enhance business outcomes and customer engagement.
The Data Scientist will work closely with customers to apply data science and machine learning to solve commercial problems, build predictive models, analyze data, and enhance business understanding. The role requires effective communication with technical and non-technical stakeholders to ensure customer satisfaction and product performance.
The Principal Data Scientist will lead business plans and projects by analyzing operational needs, developing technical solutions, and leveraging analytics. Responsibilities include code development in SQL, Java, C++, and Python, data source identification, quality checks, and analyzing customer data to create impactful solutions. The role also involves conducting tests, creating dashboards, and guiding junior associates on data quality.
The Data Scientist will analyze user journeys and develop data-driven insights to support product and customer success teams. This role involves statistical analysis, feature engineering, deploying predictive models, and coordinating with teams to implement AI/ML models. The individual will also monitor model performance and produce actionable reports for stakeholders.
As a Data Scientist at Netomi AI, you'll design and implement machine learning algorithms for NLP/LLMs and deep learning models, analyze datasets, develop predictive models, and communicate insights to stakeholders. You'll also improve existing models and stay updated with advancements in the field.
The Senior Data Scientist at Cognite will utilize their expertise to build and operationalize data-driven solutions, particularly in heavy-asset industries. Responsibilities include conducting customer workshops, developing physics-based and machine learning solutions, and mentoring junior staff. The role focuses on improving decision-making through data contextualization and visualizations, contributing to customers' digital transformation.
The Data Scientist II-1 role at Mastercard involves developing AI and ML applications, solving business problems using AI methodologies, and collaborating on cross-functional teams. Responsibilities include leveraging deep learning and machine learning techniques, working with big data platforms, optimizing algorithms, and enhancing customer experience through innovative AI solutions.
The Senior Data Scientist at Assurant-GCC, India, is responsible for using programming, mathematical, statistical, and analytical skills to solve complex business problems and advance the implementation of machine learning models. The role involves creating value through data, model development, communicating insights, project management, supporting data strategies, and product leadership.
The Sr. Data Scientist will assist in the rollout of the iDeal program, manage the data-driven transformation project, contribute AI ideas for deal-making, analyze data, develop frameworks, and manage user modules, ensuring a seamless integration of iDeal into the deal-making processes.
The Senior Data Scientist will develop and maintain machine learning models for time series forecasting in the energy sector. Responsibilities include designing workflows for feature engineering, analyzing market trends, deploying containerized solutions, and implementing CI/CD pipelines. The role involves collaboration with cross-functional teams to enhance forecasting capabilities and support team growth.
The Data Sciences Senior Technical Lead will focus on mentoring junior members, providing support and maintenance for existing applications, and designing and developing new product features. The role requires proficiency in Python, Spark, SQL, and Databricks, along with knowledge of Azure Data Stack tools.
The Data Scientist & Experimentation Analyst will support the development and evaluation of ML-driven pricing and personalization solutions through statistical analysis, experiment design, and collaboration with ML scientists. Responsibilities include designing experiments, conducting data analysis, supporting ML models, creating visualizations, and performing ad-hoc analysis to drive strategic decisions.
The Senior Associate Data Scientist will analyze complex data sets, develop predictive models, and deploy them in production. They will collaborate with business stakeholders, preprocess data, communicate insights, and support the organization's data science adoption while staying updated with industry trends.
The Senior Data Scientist II will drive end-to-end data science projects, focusing on machine learning algorithms for personalization and recommendation systems. Responsibilities include collaborating with cross-functional teams, developing scalable solutions, and maintaining machine learning models for business impact.
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