Staff, Data Scientist | Forecasting | Transportation AI

Position SummaryWalmart Global Tech is seeking a highly skilled Full Stack Staff Data Scientist to lead the development and deployment of experiments in production and/or forecasting solutions within our Transportation Applied AI team. As a science tech lead, you will drive product innovation, cost optimization, and data-driven automation through robust measurements across experimentation, causal discovery, and analytics for Walmart's transportation systems.About TeamThe 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 cutting-edge 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 DoResearch and explore the latest trends in time series forecasting and/or experimentation in marketplaces to develop solutions for complex business problems.Lead the design, development, and deployment of experimentation and/or forecasting frameworks to answer high-impact business questions and support complex decision-making.Collaborate closely with cross-functional teams to understand transportation business objectives, requirements, and constraints.Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and product directions in transportation.Mentor and guide other junior data scientists in the team.Conduct thorough code reviews to ensure engineering excellence.What You'll BringPh.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 forecasting, statistics, A/B testing, causal inference, causal machine learning, running experiments in production, experimentation in marketplaces/two-sided platforms.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 causal discovery and building experimentation excellence 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.Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases.Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams.About Walmart Global TechImagine 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. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, Hybrid WorkWe 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. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.BenefitsBeyond 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 EmployerWalmart, 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. That means understanding, respecting, and valuing diversity - unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.Minimum QualificationsBachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.Master's 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 QualificationsData 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 Location840 W California Ave, Sunnyvale, CA 94086-4828, United States of America

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