Principal, Data Scientist at Walmart Inc. Sunnyvale, CA

Comunidade Metodista; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase plan

PTO & leave programs

Live Better U education benefit

Job summary

Walmart Inc. is seeking a Principal Data Scientist in Sunnyvale, CA to drive innovation across the Search and Personalization stack. You will design and deploy ML models for search relevance, ranking, and recommendations, leading cross-functional teams and mentoring engineers.

You will lead model architectures, production deployments, and experiments to optimize KPIs, applying state‑of‑the‑art ML techniques and coordinating with ML engineers and platform teams.

Qualifications

• Proven expertise in search ranking and personalization strategies.
• Experience deploying ML models at scale in production environments.
• Familiar with ML tooling and open-source frameworks.

Responsibilities

• Develop and optimize ML models for search relevance, embeddings, and personalization.
• Lead algorithmic innovations using DL, RL, and LLM-based techniques.
• Define end-to-end ML architectures and production deployment.

Skills

Search & Personalization

ML & AI Knowledge

Python/Scala/Java

Production ML Pipelines

Model Deployment

Experimentation & Evaluation

Education

Bachelor’s in Statistics/Analytics/CS

Master’s in related field

7+ years analytics experience

Tools

TensorFlow

PyTorch

Feast

MLflow

Kubeflow

Spark

Job description

Principal, Data Scientist job at Walmart Inc.. Sunnyvale, CA.

What you'll do at

Position Summary...

What you'll do...

We are seeking a Principal Data Scientist to drive innovation within Walmart International Search and Personalization. This role will be instrumental in enhancing our entire Search Stack - including Pre-retrieval, Retrieval and Ranking along with recommendation systems, and user personalization strategiesacross the user journey by leveraging cutting-edge ML techniques. You will lead high-impact projects, collaborate with cross-functional teams, and shape the future of how customers discover and interact with our platform.

What you'll do:

• Develop and Optimize ML Models : Design and deploy machine learning models for search relevance, ranking, query understanding, embeddings, personalization, and recommendations.

• Lead Algorithmic Innovations : Drive the development of deep learning, reinforcement learning, multi-task learning, and LLM-based techniques to improve search and personalization performance.

• Lead Model Architecture Discussions : Define and drive end-to-end ML architecture decisions, ensuring models are scalable, efficient, and aligned with business needs. Collaborate with ML engineers and platform teams to design architectures that integrate seamlessly into production.

• Scale AI in Production : Work closely with MLOps and engineering teams to deploy and maintain scalable ML solutions that power real-time experiences.

• Experimentation and Evaluation : Define KPIs, design A/B tests, and lead offline/online evaluations to measure and optimize model effectiveness.

• Cross-functional Collaboration : Partner with Product, Engineering, UX, and Business teams to align machine learning initiatives with strategic goals.

• Mentor and Influence : Provide technical leadership, mentor junior team members, and contribute to the broader ML and AI strategy for the organization.

What you’ll bring:

• Expertise in Search & Personalization : Strong experience in information retrieval, search ranking, query intent classification, and recommendation systems.

• Advanced ML & AI Knowledge : Proficiency in deep learning (Transformer models, embeddings, contrastive learning), NLP (LLMs, BERT, RAG-based systems), and graph-based personalization techniques.

• Applied Experience : Hands‑on experience in deploying ML models at scale using frameworks like TensorFlow, or PyTorch

• Open‑Source ML Technologies : Strong experience with distributed computing, feature stores (Feast), and ML platforms such as MLflow and Kubeflow.

• Strong Programming & Engineering Skills : Proficiency in Python, Scala, or Java, with experience in writing production-quality ML pipelines.

• Proven Track Record : Experience in designing and leading ML projects that drive measurable business impact.

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 .

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.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.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 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...

680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America