(USA) Staff, Data Scientist

Walmart Global Tech; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

401(k) match

Stock purchase plan

Paid time off

Health plans

Job summary

Walmart Global Tech is seeking a Staff Data Scientist to drive innovation across Walmart’s BuyBox, Search & Personalization ecosystem. You will develop next-generation ML solutions spanning ranking, recommendation systems, Generative AI, and neural networks.

You will lead initiatives from problem formulation to deployment and continuous improvement, partnering with Product, Engineering, and business stakeholders.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Statistics, CS, or Analytics.
• Proven experience with ML systems, ranking, and personalization.
• Strong understanding of experimentation and evaluation methods (A/B).

Responsibilities

• Lead advanced ML solutions for BuyBox ranking, Search, and Personalization.
• Develop and deploy ranking and recommendation systems using modern ML techniques.
• Apply GenAI/LLMs to improve semantic understanding and user experience.
• Drive projects from problem formulation to production deployment and impact measurement.

Skills

ML expertise

Ranking systems

Recommendation systems

LLMs

MLOps

A/B testing

Python

BigQuery

PySpark

Hive

Data visualization

Cross-functional leadership

Education

Bachelor's in Statistics/Analytics/CS

Master's in ML/AI

Tools

Python

BigQuery

PySpark

Hive

Job description

Position Summary... What you'll do...Role summary: We are looking for a Staff Data Scientist to drive innovation across Walmart’s BuyBox, Search & Personalization ecosystem. You will develop next-generation machine learning solutions spanning ranking, recommendation systems, Generative AI, and neural networks. You will lead high-impact initiatives from problem formulation and research through experimentation, deployment, and continuous improvement, partnering closely with Product, Engineering, and business stakeholders. You will identify appropriate data sources, ensure data quality, and develop scalable models that support customer and business decisions. Your solutions will operate at Walmart scale, influencing millions of products, offers, sellers, and customer interactions while delivering measurable customer and business impact.

About the team:

The BuyBox Data Science team is part of Walmart’s Search & Personalization organization and builds intelligent ranking and decisioning systems that help customers discover and purchase the most relevant and competitive products and offers. Our work sits at the intersection of Search, Personalization, Recommendation Systems, Marketplace, and eCommerce. The team develops machine learning systems that determine the best offer for a product and select the most relevant product variant from a set of eligible variants. Operating at Walmart scale, these systems influence shopping decisions across millions of products, offers, sellers, and customer interactions, creating meaningful impact for our customers, sellers, and business.

What you'll do:

• Lead advanced ML solutions for BuyBox offer ranking, Variant Leader Selection, Search, and Personalization.
• Build and advance ranking and recommendation systems using Learning-to-Rank, deep learning, and modern ML techniques.
• Apply GenAI, LLMs, and neural networks to improve ranking, semantic understanding, personalization, and customer experience.
• Drive research and innovation, translating new ideas into scalable production solutions.
• Lead projects from problem definition and modeling through offline evaluation, A/B testing, production deployment, and impact measurement.
• Partner with Product, Engineering, Analytics, and business stakeholders on strategy and technical roadmaps.
• Provide technical leadership, establish ML best practices, and mentor Data Scientists.
• Deploy and monitor models in production environments, ensuring performance and scalability.

What you’ll bring:

• Proven expertise in machine learning, ranking, recommendation systems, information retrieval, and personalization.
• Proficiency in Python, BigQuery, PySpark, Hive, and data visualization tools.
• Deep understanding of Learning-to-Rank, neural networks, embeddings, representation learning, and modern recommendation techniques.
• Experience applying Generative AI and LLMs to real-world machine learning problems.
• Experience building and deploying data pipelines, MLOps and large-scale production ML systems.
• Strong knowledge of experimentation, A/B testing, statistical methods, and model evaluation.
• Ability to lead complex, ambiguous initiatives and influence technical direction across teams.
• Strong communication and cross-functional collaboration skills.
• Passion for innovation, applied research, and delivering measurable customer and business impact at scale.

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 expert's 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.

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 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.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

The annual salary range for this position is $143,000.00 - $286,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

• Stock

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...

1395 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.