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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
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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 machine learning systems to improve customer discovery and business outcomes. You will lead the architecture for search, ranking, and recommendation algorithms while driving the adoption of Generative AI, Large Language Models, embeddings, and semantic search capabilities. Day-to-day responsibilities include mentoring senior scientists, establishing experimentation frameworks, and managing cross-functional initiatives with engineering and product teams. Required technical skills include expertise in transformer models, vector search, MLOps, and distributed model deployment. You will utilize tools and languages such as Python, Spark, Scala, R, scikit-learn, TensorFlow, and Torch to solve complex information retrieval and personalization problems.
What does a Data Scientist earn in California?
Median $214500 from 102 postings across 35 companies.
Lead the architecture and technical direction for Search and Personalization machine learning systems.
Design scalable retrieval, ranking, recommendation, and personalization algorithms.
Drive the 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
Obtain a Bachelor's degree in a related field with 4 years of analytics experience, a Master's degree with 2 years of experience, or 6 years of experience.
Possess extensive experience building production AI/ML systems at scale.
Demonstrate deep expertise in Search, Information Retrieval, Recommendation Systems, Personalization, or Ranking.
Have experience with transformer models, embeddings, vector search, LLMs, or Generative AI applications.
Maintain a strong understanding of ML system architecture, MLOps, and distributed model deployment.
Exhibit expertise in experimentation, causal inference, and performance evaluation.
Demonstrate excellent technical leadership, stakeholder management, and the ability to mentor technical teams.
Possess a PhD in a related field, proficiency in Python/Spark/Scala/R, and knowledge of WCAG 2.2 AA standards (preferred).