Staff Data Scientist

Walmart

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $188k
$119k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$214,500.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist

The (USA) Staff, Data Scientist joins the Applied AI Search & Personalization team to provide technical leadership for large-scale initiatives. This role involves designing and deploying advanced AI solutions, specifically focusing on scalable retrieval, ranking, recommendation, and personalization algorithms. You will lead the architecture for machine learning systems, drive the adoption of Generative AI, and mentor senior scientists while establishing experimentation frameworks and best practices. The position requires deep expertise in transformer models, embeddings, vector search, and Large Language Models. You will utilize skills in MLOps, distributed model deployment, causal inference, and performance evaluation to solve complex problems in customer discovery. By integrating these technologies, you will improve search relevance and business metrics to create innovative, data-driven shopping experiences for millions of customers.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Lead architecture and technical direction for Search and Personalization machine learning systems.
  • Design scalable retrieval, ranking, recommendation, and personalization algorithms.
  • Drive adoption of Generative AI, Large Language Models, embeddings, and semantic search.
  • Establish experimentation frameworks and best practices for model development and evaluation.
  • Mentor senior scientists and review technical designs across multiple initiatives.
  • Influence long-term AI strategy and technology investments.
  • Drive measurable improvements in customer engagement, search relevance, and business metrics.

What we're looking for

  • Must have a Bachelor's degree in a related field and 4 years of experience in an analytics related field.
  • Must have a Master's degree in a related field and 2 years of experience in an analytics related field.
  • Must have 6 years of experience in an analytics or related field.
  • Extensive experience building production AI/ML systems at scale.
  • Deep expertise in Search, Information Retrieval, Recommendation Systems, Personalization, or Ranking.
  • Experience with transformer models, embeddings, vector search, LLMs, or Generative AI applications.
  • Strong understanding of ML system architecture, MLOps, and distributed model deployment.
  • Expertise in experimentation, causal inference, and performance evaluation.
  • Excellent technical leadership and stakeholder management skills.
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics (preferred).
  • Successful completion of one or more assessments in Python, Spark, Scala, or R (preferred).
  • Experience using open source frameworks such as scikit learn, tensorflow, or torch (preferred).
  • Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards (preferred).

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