This role pays more than
86%
of similar roles. Most pay
$143,787–$214,365
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$179k
for comparable roles.
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
328 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 277 roles with salary data.
The (USA) Principal, Data Scientist joins the Market Intelligence team to provide technical leadership for advanced AI/ML solutions addressing complex retail and e-commerce challenges. This role involves driving innovation across Machine Learning, Deep Learning, Generative AI, and Agentic AI while designing and productionizing scalable solutions. The successful candidate will translate business problems into technical architectures, mentor other data scientists, and establish best practices for model evaluation, deployment, and lifecycle management. Key technical requirements include proficiency in Python, PyTorch, TensorFlow, NLP, Computer Vision, and MLOps, alongside experience with SQL/NoSQL, data quality, and predictive analytics. The position focuses on identifying market trends and growth opportunities through advanced analytics to enhance competitive positioning and provide actionable insights for strategic business decisions.
What does a Data Scientist earn in California?
Median $214500 from 106 postings across 34 companies.
Lead the technical strategy, architecture, and development of advanced AI/ML solutions for retail and e-commerce.
Drive innovation across Machine Learning, Deep Learning, Generative AI, and Agentic AI at scale.
Design and productionize scalable ML solutions with best practices for evaluation, deployment, and monitoring.
Translate complex business problems into AI/ML solutions that deliver measurable impact.
Influence technical direction and architecture across Data Science, Engineering, Product, and Business teams.
Communicate complex technical concepts and business impact to senior technical and business stakeholders.
Mentor data scientists and raise the organization's technical standards and capabilities.
What we're looking for
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field and 5 years of experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field and 3 years of experience in an analytics related field.
7 years of experience in an analytics or related field.
Strong expertise in Machine Learning, Deep Learning, GenAI, Agentic AI, and Statistics.
Proficiency in Python, PyTorch/TensorFlow, NLP, Computer Vision, and MLOps.
Experience with data management, SQL/NoSQL, data quality, and predictive analytics.
Proven technical leadership including mentoring teams and defining technical direction.
Machine Learning
Generative AI
Large Language Models
LLMs
Python
Spark
Scala
R
TensorFlow
scikit learn
MLOps
Vector Search
Information Retrieval
Recommendation Systems
Transformer Models
Embeddings
Distributed Model Deployment
Causal Inference