Senior, Data Scientist

Position: (USA) Senior, Data Scientist
Reference: R-2628137

Posted:

Location:

BENTONVILLE, AR, United States; SUNNYVALE, CASalary: $90000 - $180000/year

Type:
Full time / Regular/Permanent Company:
Walmart Business Segment:
Home Office Role summary:
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that enhance business outcomes. This role involves designing robust models, performing rigorous validation, and ensuring scalability while collaborating with cross-functional teams to translate complex data into actionable insights. You will guide data strategy, uphold data quality standards, and communicate findings effectively to influence decision-making.

Your expertise in operations research, machine learning, statistical methods, and visualization will support Walmart’s commitment to innovation and operational excellence. About the team:

Inventory Decision Intelligence, part of Applied AI, owns the science and AI capabilities driving how inventory is ordered, positioned, transferred, and managed across Walmart's network.

We apply agentic AI and mathematical optimization to build scalable, reliable decision systems that work consistently across businesses, locations, and operating conditions — from defining decision logic and developing models to monitoring performance in production. In close partnership with engineering, product, and business, we improve inventory availability and sales while reducing excess and operating cost, ultimately delivering better experiences for customers and associates.

What you'll do:

Design and implement optimization models and machine learning solutions that power intelligent, automated decision-making across inventory management operations.

Develop, test, and deploy scalable models using advanced statistical, machine learning, and mathematical optimization techniques.

Identify and evaluate data sources aligned with business requirements and quality standards.

Perform exploratory data analysis and feature engineering to support model development and decision logic design.

Collaborate with stakeholders to translate complex business problems into decision-driven, data-informed solutions.

Create clear data visualizations to communicate findings and support decision-making.

Ensure compliance with data governance, quality, and deployment standards throughout project life cycles.

What you'll bring:

Experience designing and developing optimization models and machine learning solutions that power automated decision-making systems.

Strong foundation in data science, including advanced statistical methods, machine learning, and mathematical optimization techniques.

Proficiency in Python and relevant data science libraries; familiarity with data visualization tools to communicate analytical findings.

Strong knowledge of database technologies, including SQL and No

SQL systems, and data quality assessment practices.

Ability to develop, test, validate, and deploy scalable models with a focus on reliability and production readiness.

Solid understanding of business domains with the ability to translate complex requirements into decision-driven, data-informed solutions.

Collaborative approach to work cross-functionally with engineering, product, and business stakeholders.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.

Other benefits include short-term…