(USA) Senior, Data Scientist

Walmart • Sunnyvale, CA

1d • Onsite

About The Position

The Senior Data Scientist will leverage advanced machine learning and optimization algorithms to develop and deploy data-driven solutions that support strategic business objectives for Finance. This role involves sourcing and validating data, designing predictive models, and ensuring scalable model deployment. The position requires proficiency in programming, statistical analysis, machine learning and data visualization to translate complex data into actionable insights. Collaborating with cross-functional teams, the Senior Data Scientist will guide technical problem-solving, mentor associates, and contribute to continuous improvement initiatives that enhance business performance and operational efficiency. The Data Science team within Finance Tech of Corporate Tech & Services at Walmart Global Tech leverages advanced machine learning, statistics, and optimization to solve key business challenges. Focused on transforming finance and accounting operations, the team develops applied ML/AI solutions, automation, and intelligent workflows that enhance efficiency, reduce risk, and minimize manual tasks. The platform integrates multiple capabilities into a unified accounting system. Committed to continuous learning and innovation, the team employs cutting-edge technologies and best practices to improve model development, deployment, and scalability, delivering impactful results that support Walmart’s strategic goals.

Requirements

• Deep knowledge of machine learning, optimization and data analysis techniques.
• Proficient in Python, SQL, and AI/ML frameworks, with demonstrated ability to build scalable, end-to-end AI / ML pipelines.
• Experience with deep learning modeling and libraries such as PyTorch and TensorFlow.
• Experience with prototyping and deploying algorithms using large-scale production data.
• Expertise in data quality assessment, model validation, and deployment in production environments.
• Excellent communication and collaboration skills.
• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
• 5 years' experience in an analytics or related field.

Nice To Haves

• Data science, machine learning, optimization models
• Master’s degree 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
• Using open source frameworks (for example, scikit learn, tensorflow, torch)
• 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.
• Knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

• Identify and source relevant business data from multiple databases and distributed systems ensuring high data quality.
• Build, train, evaluate and deploy models on large-scale retail data.
• Design, Develop and evaluate agentic systems for optimizing finance operations.
• Build Retrieval-Augmented Generation (RAG) pipelines, agents, and optimized agentic routing.
• Perform prompt engineering, context management, token cost optimization, and output evaluation to improve AI solution reliability.
• Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions.
• Mentor junior associates in data science methodologies and best practices.

Benefits

• Competitive pay
• Performance-based bonus awards
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement
• Jury duty
• Voting leave
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
• Walmart-paid education benefit program (Live Better U) for full-time and part-time associates

What This Job Offers

• Job Type: Full-time
• Career Level: Senior