Principal, Data Scientist (Marketplace Risk)

Position Summary...

What you'll do...

Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.  
 
This is a full-time onsite role based in Bellevue, WA; remote and hybrid options are not available.  

Role Summary:  
The Principal Data Scientist will lead the development and deployment of advanced machine learning models and machine learning solutions to address complex business challenges. This role requires expertise in end-to-end model development lifecycle from data to features to modelling to deployment. The position involves mentoring team members, collaborating cross-functionally, and ensuring the quality and effectiveness of data sources and models. The successful candidate will drive innovation by applying cutting-edge techniques and delivering measurable business impact while maintaining high standards of integrity and operational excellence.

About the Team:  
The Marketplace Data Science team at Walmart Global Tech drives innovation in global commerce by supporting a rapidly expanding eCommerce platform. The team empowers thousands of sellers to efficiently manage digital storefronts, optimizing product listings, pricing, and inventory. They deliver seamless pre- and post-order experiences through intelligent, resilient systems. Utilizing real-time data and integrating with partner platforms across Walmart’s ecosystem, the team ensures exceptional customer experiences. Focused on scalable, reliable solutions, they collaborate across functions to advance technology roadmaps and support sustained business growth.

What You'll Do:

• Develop, test, and deploy advanced machine learning models and data-driven solutions aligned with business requirements.

• Analyze complex business problems to identify root causes and recommend effective technology-focused approaches.

• Identify, assess, and validate data sources ensuring quality and relevance for analytical modeling.

• Lead feature engineering, exploratory data analysis, and model evaluation to optimize performance and robustness.

• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic data science products after successful prototyping.

• Collaborate with stakeholders to translate business needs into scalable data science strategies and measurable outcomes.

• Mentor team members on advanced modeling techniques, data visualization, and best practices.

• Drive continuous improvement by integrating emerging machine learning trends and automation tools.

What You'll Bring:

• PhD in Computer Science or related field and 10 years of relevant data science experience or master's degree in related field and 12 years of relevant data science experience.

• Demonstrable experience of architecting large scale ML systems.

• Deep knowledge of and extensive experience in machine learning algorithms, deep learning, and reinforcement learning to develop advanced analytical models.

• Proven experience working with state-of-the-art agentic, Gen AI, supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce domain.

• Proficiency in Python programming and AWS SageMaker for scalable model development and deployment.

• Strong knowledge of statistical analysis and exploratory data analysis techniques to interpret complex data sets.

• Ability to translate business requirements into data-driven strategies and measurable outcomes.

• Expertise in data source identification, quality assessment, and data ecosystem management.

• Proven leadership skills in mentoring and guiding technical teams toward innovative solutions.

• Effective communication skills to present insights and influence stakeholders.

Preferred Experience:

• Experience in the e-commerce domain.

• Experience in the fraud/risk domain.

• Demonstrated success in data science platforms like Kaggle.

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.

Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connections rooted in deepening understanding and investing in the development of our associates.

 

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 unique styles, experiences, identities, ideas and opinions while being welcoming 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.

#LI-onsite

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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 5 years' experience in an analytics related field. Option 2: Masters 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...

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, 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...

10900 Ne 4th St, Bellevue, WA 98004, 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.