(IND) STAFF, DATA SCIENTIST

This staff data scientist role leads the development and integration of Generative AI application capabilities across Walmart Luminate product areas. Within Walmart Data Ventures, the position oversees Generative AI applications, including those for customer support and experience. Luminate provides customer-centric insights to support decisions by consumer packaged goods companies and Walmart merchants. The role is based in the Bangalore office for daily work.
Responsibilities
Build and deploy AI-powered applications while overseeing Generative AI projects across Data Ventures and aligning them with team strategy and company objectives.
Work with cross-functional teams to identify opportunities, prototype and implement solutions, and drive innovation.
Provide technical leadership and mentor junior scientists in Generative AI and data science.
Qualifications
The role calls for extensive Generative AI experience; strong knowledge of deep learning, natural language processing and generative AI technologies; and a record of building and deploying advanced applications. Prior technical leadership or senior-role experience, problem-solving, communication and mentoring skills are also sought. The role description calls for a Ph.D. or master’s degree in Data Science, Computer Science or a related field.
The separately stated minimum qualifications offer three alternatives: a bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or a related field plus 4 years of analytics-related experience; a master’s degree in one of those fields plus 2 years of analytics-related experience; or 6 years of experience in analytics or a related field. No additional preferred qualifications are listed.
The posting mentions potential performance incentive awards and benefits including maternity and parental leave, paid time off and health benefits; it does not state a salary amount.
Generative AIDeep LearningNatural Language ProcessingData ScienceApplication DevelopmentAI PrototypingTechnical LeadershipMentoringCross-functional CollaborationProblem-solvingCommunication

Work arrangement
No