Position Summary...What you'll do...Role summary:As a Staff Data Scientist, you will be at the forefront of AI innovation, developing machine learning and reinforcement learning models for driver search and matching. You will be leading a team of Applied Scientist to design, train, evaluate, deploy, and monitor production models. You will collaborate closely with business, product, and engineering teams to ensure AI objectives align with Walmart's business goals. Your work will directly improve driver experience, operational efficiency, and delivery reliability, driving measurable business impact.
What you'll do: - Lead a team of applied scientists in developing innovative AI-driven solutions.
- Research and implement state-of-the-art machine learning techniques, including reinforcement learning and deep learning.
- Collaborate cross-functionally with business, product, and engineering stakeholders to ensure AI solutions align with Walmart's strategic objectives.
- Design and optimize machine learning pipelines to ensure scalability, efficiency, and real-time processing capabilities.
- Build and deploy end-to-end models, balancing accuracy, computational efficiency, and measurable business impact.
- Explore and integrate the latest advancements in AI, ensuring Walmart remains at the forefront of AI-driven delivery solutions.
What you'll bring: - Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, or a related field.
- Extensive experience in machine learning, reinforcement learning, GenAI, and LLMs.
- 5+ Years of experience of deploying ML models in production, preferably in high-scale environments.
- Strong programming skills in Python, Java, C, or C++.
- Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azure).
- Demonstrated ability to drive projects from conception to production in a fast-paced, dynamic environment.
- Excellent communication and leadership skills, with the ability to influence and inspire cross-functional teams.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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, 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. The ideal candidate would have 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.
Primary Location...
1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America
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. This policy applies to all employees and aims to create a safe and productive work environment.
