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This listing doesn't post a salary. Most similar roles pay
$135,000–$191,562.
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
713 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 610 roles with salary data.
The (USA) Senior, Data Scientist joins the Applied AI Search & Personalization team to lead the development of advanced machine learning solutions. This role involves independently driving complex modeling initiatives to power search relevance, personalization, and customer discovery experiences. You will design and deploy production-scale models for ranking, recommendations, and retrieval while utilizing deep learning, NLP, and Generative AI techniques. Key responsibilities include leading experimentation via offline metrics and online A/B testing, optimizing model inference efficiency, and mentoring junior scientists. The position requires proficiency in Python, SQL, and distributed data processing, alongside experience with cloud-based ML platforms and MLOps. You will solve technical problems related to transforming how customers discover products by building intelligent, scalable systems that improve overall business performance and shopping experiences.
What does a Data Scientist earn in California?
Median $214500 from 132 postings across 33 companies.
Design and deploy machine learning models for Search, Ranking, Recommendations, and Personalization.
Apply deep learning, NLP, and Generative AI techniques to improve customer discovery.
Lead experimentation using offline metrics and online A/B testing.
Optimize model performance, scalability, and inference efficiency.
Drive production monitoring and continuous model improvements.
Mentor junior data scientists and contribute to engineering and modeling best practices.
Communicate technical recommendations to leadership and business stakeholders.
What we're looking for
Hold a Bachelor’s degree in a related field with 3 years of analytics experience, a Master’s degree with 1 year of experience, or 5 years of experience.
Demonstrate strong experience building production machine learning systems.
Possess expertise in supervised learning, deep learning, feature engineering, and model optimization.
Show proficiency in Python, SQL, and distributed data processing.
Maintain familiarity with cloud-based ML platforms and MLOps.
Experience with Search, Recommendation Systems, Personalization, NLP, or Ranking is preferred.
Successful completion of one or more assessments in Python, Spark, Scala, or R is preferred.
A Master’s degree in Machine Learning, Computer Science, IT, Operations Research, Statistics, Applied Mathematics, or Econometrics is preferred.
Python
Machine Learning
Mathematical Optimization
SQL
NoSQL
Spark
Scala
R
scikit learn
TensorFlow
Operations Research
Statistics
Data Visualization
Data Governance
WCAG) 2.2 AA
Python
SQL
Machine Learning
Data Visualization
Spark
Scala
R
scikit learn
TensorFlow
Generative AI
Predictive Modeling
Exploratory Data Analysis
Feature Engineering
WCAG) 2.2 AA
Python
SQL
Spark
Scala
R
Hadoop
Hive
Map Reduce
TensorFlow
scikit learn
NLP
Computer Vision
Gen AI
Agentic AI
Git
Data Warehouse
Statistics
Machine Learning
Deep Learning
Generative AI
Large Language Models
LLMs
MLOps
Python
Spark
Scala
R
TensorFlow
scikit learn
transformer models
vector search
Embeddings
Information Retrieval
Recommendation Systems
causal inference
distributed model deployment
semantic search
Optimization Models
Machine Learning
Generative AI
Large Language Models
LLMs
Python
Spark
Scala
R
TensorFlow
scikit learn
MLOps
Vector Search
Embeddings
Transformer Models
Information Retrieval
Recommendation Systems
Distributed Model Deployment
Causal Inference
WCAG) 2.2 AA