Walmart
Principal, Data Scientist | Transportation AI | Sunnyvale
Walmart, Sunnyvale, California, United States, 94087
Position Summary :
Walmart Global Tech is seeking a talented and experienced
Principal Data Scientist
to lead the development and deployment of large-scale AI algorithms within our Transportation Applied AI team. As a Principal Scientist, you will play a critical role in driving end-to-end innovation, cost optimization, and data-driven automation for the entire Walmart's transportation system using cutting-edge technologies like
multi-agent systems ,
deep reinforcement learning , 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 a team of scientists across multiple products on the design, development, and deployment of AI agentic models using state-of-the-art algorithms.
Provide strategic leadership and technical expertise in the transportation AI team. Define the vision, roadmap, and priorities to enable end-to-end transportation cost optimality.
Collaborate closely with cross-functional teams to deeply understand end-to-end transportation business objectives, requirements, and constraints. Work collaboratively to translate business needs into scientific solutions.
Provide thought leadership and guidance on transportation science strategy, architecture, and best implementation practices.
Mentor a group of talented scientists in the team and provide technical guidance.
Conduct thorough code reviews to ensure engineering excellence.
Communicate complex technical concepts and insights to non-technical stakeholders through presentations and reports.
What you'll bring :
Ph.D. degree in
Statistics ,
Operations Research ,
Computer Science ,
Economics ,
Machine Learning ,
AI , or other quantitative fields with
6+ years of experience ; or Master's degree in the same domains with
9+ years of experience
post-grad school.
Publications at top-tier peer-reviewed conferences or journals in at least one of these areas:
agentic AI ,
multi-agent systems ,
reinforcement learning ,
deep learning , and
machine learning .
Deep knowledge in multi-agent systems, reinforcement learning, statistics, game theory, and machine learning.
Hands-on development experience with the ability to write production code in object-oriented languages like
Java ,
C++ , or
Python .
Strong experience with mentorship and/or management of junior scientists and engineers.
Proven track record of building and deploying algorithms/models in production in a real-world setting.
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.
Knowledge of the latest innovations in machine learning and LLM is a plus.
Experience in forecasting, ranking algorithms, personalization, and experimentation 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. 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 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. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
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. That means understanding, respecting, and valuing diversity - unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Minimum Qualifications :
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
Option 3: 7 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.
Publications or active peer reviewer in related journals or conference.
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 :
680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America
#J-18808-Ljbffr
Walmart Global Tech is seeking a talented and experienced
Principal Data Scientist
to lead the development and deployment of large-scale AI algorithms within our Transportation Applied AI team. As a Principal Scientist, you will play a critical role in driving end-to-end innovation, cost optimization, and data-driven automation for the entire Walmart's transportation system using cutting-edge technologies like
multi-agent systems ,
deep reinforcement learning , 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 a team of scientists across multiple products on the design, development, and deployment of AI agentic models using state-of-the-art algorithms.
Provide strategic leadership and technical expertise in the transportation AI team. Define the vision, roadmap, and priorities to enable end-to-end transportation cost optimality.
Collaborate closely with cross-functional teams to deeply understand end-to-end transportation business objectives, requirements, and constraints. Work collaboratively to translate business needs into scientific solutions.
Provide thought leadership and guidance on transportation science strategy, architecture, and best implementation practices.
Mentor a group of talented scientists in the team and provide technical guidance.
Conduct thorough code reviews to ensure engineering excellence.
Communicate complex technical concepts and insights to non-technical stakeholders through presentations and reports.
What you'll bring :
Ph.D. degree in
Statistics ,
Operations Research ,
Computer Science ,
Economics ,
Machine Learning ,
AI , or other quantitative fields with
6+ years of experience ; or Master's degree in the same domains with
9+ years of experience
post-grad school.
Publications at top-tier peer-reviewed conferences or journals in at least one of these areas:
agentic AI ,
multi-agent systems ,
reinforcement learning ,
deep learning , and
machine learning .
Deep knowledge in multi-agent systems, reinforcement learning, statistics, game theory, and machine learning.
Hands-on development experience with the ability to write production code in object-oriented languages like
Java ,
C++ , or
Python .
Strong experience with mentorship and/or management of junior scientists and engineers.
Proven track record of building and deploying algorithms/models in production in a real-world setting.
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.
Knowledge of the latest innovations in machine learning and LLM is a plus.
Experience in forecasting, ranking algorithms, personalization, and experimentation 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. 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 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. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
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. That means understanding, respecting, and valuing diversity - unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Minimum Qualifications :
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
Option 3: 7 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.
Publications or active peer reviewer in related journals or conference.
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 :
680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America
#J-18808-Ljbffr