(USA) Senior Manager, Data Science

About the Role

Key Responsibilities

• Lead and mentor a team of data scientists and ML engineers to develop search ranking algorithms, personalization models, and recommendation systems tailored for Walmart's international markets.
• Design and implement machine learning models for query understanding, ranking, and personalization to enhance customer engagement and conversion.
• Collaborate closely with engineering teams to build and deploy scalable AI-driven solutions.
• Develop A/B testing frameworks and experimentation strategies to optimize model performance and measure impact.
• Partner with product and business teams to align AI strategies with market-specific goals and customer behaviors.
• Drive innovation in generative AI and LLMs to enhance search relevance and personalization.
• Stay ahead of industry trends in AI, machine learning, and information retrieval to continuously improve Walmart's global search and personalization capabilities.

Requirements

• 8+ years of experience in data science, with a strong focus on search, personalization, or recommender systems.
• 3+ years of leadership experience, managing and mentoring data science teams.
• Expertise in machine learning, deep learning, NLP, and information retrieval techniques.
• Strong understanding of ML system design principles, including scalability, real-time inference, model retraining pipelines, and MLOps best practices.
• Proficiency in Python, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with A/B testing, causal inference, and experimentation in large-scale consumer environments.
• Ability to solve multilingual search and personalization challenges across global markets.
• Strong communication skills to influence stakeholders and drive AI-driven decision-making at scale.

Nice to Have

• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Supervisory experience.
• Experience using open source frameworks (for example, scikit-learn, TensorFlow, Torch).
• Background in creating inclusive digital experiences and knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Qualifications

• Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years of experience in an analytics related field.
• Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years of experience in an analytics related field.
• Option 3: 7 years of experience in an analytics or related field.

Benefits & Perks

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off benefits including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books, and fees.