Top Data Science Jobs in Bengaluru

The Staff Data Scientist at Bazaarvoice is responsible for developing and implementing predictive models and optimization algorithms using machine learning and natural language processing. This role involves mentoring junior team members, automating existing processes, and collaborating with engineers and product managers to translate research into actionable insights.

As a Data Scientist at CommBank, you will design and deploy AI models, lead a team of data scientists, and collaborate with stakeholders to develop high-quality AI solutions. Responsibilities include building chatbots, analyzing data, mentoring junior scientists, and presenting insights to drive business strategies.

As a Senior Data Scientist, you will develop advanced statistical models and machine learning algorithms, support data validity assessments, and leverage big data analytics to identify trends and insights that drive business decisions at Walmart. You'll collaborate with business partners to communicate actionable recommendations and contribute to the development of scalable data science products.

The Data Scientist will leverage advanced statistical analysis, machine learning, and Generative AI to tackle complex business challenges in telecommunications. Responsibilities include developing predictive models, enhancing generative models, working with cloud engineering for scalable AI, and collaborating with teams to drive data-driven decisions.

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 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 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 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 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.

As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.

As a Data Scientist at Funding Societies, you will design and develop machine learning models for credit scoring and risk assessment, analyze datasets for insights, and improve model infrastructure. Collaboration with the team to automate reports and workflows is key, along with creating actionable insights for business decisions.

The Principal/Lead Data Scientist will lead AI solution delivery, manage project teams, ensure quality and timeliness, and partner with sales for business development. The role requires strong proficiency in AI, machine learning, and team leadership, along with the ability to preprocess data and implement best practices in AI solutions.

The Lead Data Scientist will lead project teams to craft innovative analytics solutions, utilizing Machine Learning and Deep Learning. Responsibilities include designing sophisticated models, overseeing project delivery, mentoring team members in Python and AI, and collaborating with stakeholders to leverage data for business success.