Senior Data Scientist leveraging advanced analytical techniques to support Walmart's strategic objectives. Collaborating across functions, mentoring team members, and ensuring data governance standards.
About the role
- Principal Data Scientist formulating strategies for AI/ML deployment in production at Walmart Global Tech. Leading projects involving state-of-the-art LLMs and collaborating with cross-functional teams.
Responsibilities
- Formulating a strategy and roadmap to design, develop, and deploy AI/ML, NLP and GenAI models into production environments with a focus on reliability and scalability
- Build/Fine-tune state-of-the-art large language models (LLMs) using Walmart's massive datasets
- Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art to drive innovation at scale
- Executing full life cycle of projects through planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners
- Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, machine learning prototypes, and the strategic importance of AI initiatives
- Upholding standards, governance, and best practices in AI/ML model development and compliance with model and data governance standards
- Build a strong external presence through publishing your team’s work in top-tier AI/ML conferences and developing partnerships with academic institutions
- Adhere to Walmart’s policies, procedures, mission, values, standards of ethics and integrity
- Adopt to Walmart’s quality standards, develop/recommend process standards and best practices across the retail industry
Requirements
- PhD with >8 years of relevant experience or Master’s degree with >10 years of experience or 4-year bachelor’s degree with >12 years of experience in Computer Science or a strongly quantitative discipline
- Minimum of 12+ years of data science experience
- Demonstrated history of technology leadership and strong hands-on experience
- Proven records of scientific publications or intellectual property generation
- Hands-on experience in Large Language Models, Multimodal Vision Language Models, Recommender Systems, Computer Vision, Optimization Models and Reinforcement Learning
- Past experience in strong programming skills across data science, big data and ML engineering stack
- Strong communication skills with inclination to high ownership and commitment
- Experience with Ecommerce domain is good to have.
Benefits
- incentive awards for performance
- maternity and parental leave
- PTO
- health benefits
- best-in-class benefits
Job title
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Experience level
Salary
Not specified
Degree requirement
Location requirements
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