Staff, Data Scientist | Transportation AI

Position Summary

To be considered for an interview, please make sure your application is full in line with the job specs as found below.

Walmart Global Tech is seeking a highly skilled Full Stack Staff Data Scientist to lead the development and deployment of large-scale AI algorithms within our Transportation Applied AI team.

As a science tech lead, you will drive innovation, cost optimization, and data-driven automation for Walmart's transportation system using deep reinforcement learning, operations research, and machine learning.

About Team

The Transportation Applied AI team is a highly motivated group of AI scientists and machine learning engineers dedicated to solving sophisticated and high-impact problems that power Walmart's transportation network end-to-end from vendors to stores.

We leverage advanced algorithms in operations research, deep reinforcement learning, economics (market design), and machine learning to tackle challenging problems like Inbound / Outbound routing, truck load optimization, freight pricing and matching, and workload dispatching.

What You'll Do

• Lead the design, development, and deployment of complex AI models using state-of-the-art algorithms, with the consideration of optimality and computational complexity.
• Collaborate closely with cross-functional teams to understand transportation business objectives, requirements, and constraints.
• Mentor and guide other data scientists in the team.
• Research and explore the latest trends in machine learning and optimization techniques to develop solutions for complex business problems.
• Conduct thorough code reviews to ensure engineering excellence.

What You'll Bring

Ph.D. degree in Statistics, Operations Research, Computer Science, Economics, Machine Learning, AI, or other quantitative fields with 4+ years of experience;

or Master's degree in the same domains with 7+ years of experience post-grad school.

• Deep knowledge in deep reinforcement learning, stochastic optimization, statistics, and machine learning.
• Hands-on development experience with the ability to write production code in object-oriented languages like Java, C++, or Python.
• Proven track record of building and deploying algorithms / models in production in a real-world setting.
• Experience with large-scale data systems (Spark / Hive) and cloud computing (GCP / Azure).
• Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
• Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams.
• Experience in multi-agent systems is a plus.
• Experience in forecasting, ranking algorithms, causal ML and experimentation is a plus.
• Knowledge of supply chain and transportation operation is a plus.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech.

We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.

People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

Flexible, Hybrid Work

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

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

Primary Location

840 W California Ave, Sunnyvale, CA 94086-4828, United States of America

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