Director, Data Science

Position Summary

Lead and develop a team that enables Walmart Marketplace. Focus on technical and thought leadership, people development, and operational process optimization.

What you'll do:

• Lead a team of data scientists, ML engineers, and data analysts dedicated to Marketplace initiatives across the seller lifecycle.
• Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives.
• Partner with other cross-location data science teams to ensure continuous development and monitoring of Marketplace ML models.
• Oversee the end-to-end data science lifecycle: problem scoping, literature review, model design, algorithmic optimization, engineering integration, deployment, monitoring, and impact measurement.
• Drive AI innovation in marketplace AI models, including experimentation with new models and algorithms to improve accuracy and efficiency.
• Ensure robust model governance, model monitoring, reproducibility, and ethical AI practices.
• Communicate complex technical concepts and business impact effectively to technical and non-technical stakeholders, including senior leadership.
• Communicate complex technical concepts to non-technical audiences and executive leadership.
• Stay current with industry trends and emerging technologies in data science and AI.

What you'll bring:

• 15+ years of experience with full ML development lifecycle.
• Extensive experience in data science, machine learning algorithms, and advanced analytical modeling techniques.
• Proficiency in programming languages including Python, SQL, and Java for code development, testing, and deployment.
• Strong understanding of data strategy, data quality, and data ecosystem management to drive business value.
• Proven ability to translate complex business requirements into actionable data-driven solutions aligned with strategic objectives.
• Expertise in data visualization tools and techniques to communicate insights effectively to stakeholders.
• Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning and innovation.
• Experience building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation & monitoring.
• Experience with delivering very large models through the MLOps life cycle.
• Experience with generative AI technology stack including prompt engineering, guardrails, advanced RAG, KAG, CAG, and fine-tuning.
• Extensive hands-on experience of a broad stack of technologies — Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc.
• Authored research publications in top peer-reviewed conferences (NeurIPS/ICML/ICLR/AAAI), or industry-recognized contributions.

Compensation and Benefits:

• The annual salary range for this position is $156,000.00 - $312,000.00.
• Additional compensation includes annual or quarterly performance bonuses.
• Additional compensation for certain positions may also include: Stock.

Minimum Qualifications:

• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Option 3: 8 years' experience in an analytics or related field.

Preferred Qualifications:

• 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.
• Using open source frameworks (for example, scikit learn, tensorflow, torch).
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

Primary Location:

10900 Ne 4th St, Bellevue, WA 98004, United States of America

Additional Information:

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job.