Top Data Science Jobs in India

As a Senior Data Scientist, you will develop and maintain NLP solutions, manage data science projects, and ensure the robustness of data pipelines. You will work on data analysis, model development, and stakeholder communication, while adhering to best practices in Python programming and machine learning.

As a Lead Data Scientist at Target, you will develop and deploy scalable deep learning models, architect large-scale AI systems, and build NLP technology to enhance the search experience. Responsibilities include conducting data analysis, mentoring engineers, and following agile methodologies to innovate and improve existing systems.

The Data Scientist at TNS will leverage statistical analysis, machine learning, and Generative AI to solve international business challenges, develop and deploy predictive models, and create scalable AI solutions while collaborating with cross-functional teams to drive data-informed decision-making.

The Principal Data Scientist at Walmart Global Tech drives projects by addressing customer and operational needs, mentoring team members, and ensuring plan effectiveness. They focus on developing AI/ML strategies, building large language models, and collaborating with cross-functional teams to innovate and enhance product catalog accuracy.

The Senior Data Scientist at PayPal will leverage data and analytics to address complex business challenges, drive profitable growth, and deliver actionable insights. This role involves working on regular reporting for sales forecasts and developing new analytical models to support merchant analytics and sales teams.

As a Data Scientist at DAZN, you will analyze large-scale advertising datasets, develop predictive models, and implement machine learning algorithms to optimize advertising strategies. Your role involves conducting data analyses, collaborating with cross-functional teams, and improving campaign performance through data-driven insights.

As a Data Scientist II, you will develop and enhance statistical models for forecasting customer demand, automate data processes, and provide insights for business planning. You'll analyze contact patterns, maintain data integrity, and collaborate with stakeholders to improve forecasts and decision-making processes.

The Senior Data Scientist will develop innovative data science solutions by collaborating with product managers and stakeholders, applying advanced machine learning algorithms, and delivering comprehensive solutions. Responsibilities include mentoring junior data scientists, communicating analyses, and utilizing a product mindset for deployment and scaling of data science products.

The Principal Data Scientist will design and deploy advanced machine learning and computer vision algorithms, collaborating with various business stakeholders to tackle diverse challenges in manufacturing, medical imaging, and finance. This role involves developing robust models, integrating imaging systems, and overseeing the entire lifecycle of model deployment and performance monitoring.

As a Lead Data Scientist at Aarki, you will research and develop algorithms to solve optimization and machine learning problems, specifically focusing on user prediction, bidding strategies, and fraud detection. You will analyze system performance and establish a framework for rapid development in a programmatic demand-side platform.

The Subject Matter Expert in Data Analytics (AI) at Chegg is responsible for providing expertise in the field of data analytics, specifically focusing on artificial intelligence. This role includes supporting product development and enhancing educational tools to provide a better experience for students.

As a Principal Data Scientist in the Conversational AI team, you will lead the development of scalable Generative AI systems, translating business requirements into technical strategies and overseeing the architecture for multiple projects. You will collaborate with key stakeholders to drive proof of concepts and production AI solutions.

As Chief Data Scientist, you'll lead the creation of a sophisticated matchmaking algorithm using data-driven insights, psychometric tests, and machine learning. You will design experiments to test hypotheses, optimize algorithm performance, and work closely with product and engineering teams to support user growth.

As a Data Scientist at CommerceIQ, you will work on building state-of-the-art ML solutions for B2B SaaS products. Responsibilities include deconstructing problems, designing product strategy, prototyping solutions, working with large-scale ecommerce data, and driving productization of techniques. The role requires a Bachelor's or Master's degree in Computer Science or Maths/Stats, strong machine learning knowledge, programming skills in Python/R, and excellent communication abilities.

The Data Scientist will design, test, and optimize machine learning models using large-scale data systems and ETL processes. Responsibilities include data exploration, model refinement, and researching state-of-the-art models, with a focus on LLMs and NLP techniques.

The Data Scientist will research and develop generative AI models, collaborate with teams to implement AI-driven solutions, train and optimize models, ensure data quality, and integrate AI/ML models into production applications while maintaining documentation and facilitating communication.

The Data Scientist role involves collaborating with stakeholders to gather project requirements, developing and optimizing Marketing Mix models, and presenting results. The candidate should have extensive experience in data science, particularly in marketing analytics, and familiarity with the pharmaceutical industry is preferred.