below marketmost similar roles pay hereabove market
This role pays more than
61%
of similar roles. Most pay
$177,250–$241,750
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$210k
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
724 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 593 roles with salary data.
As a Principal, Data Scientist - Applied Machine Learning, you will join the machine learning team to lead the design and delivery of solutions powering personalization and ad targeting. You will own complex problems end to end, translating product needs into scalable models while navigating technical tradeoffs with engineering partners. Your daily work involves building, evaluating, and iterating on advanced deep learning models, designing rigorous offline metrics, and establishing best practices for modeling and experimentation. You will utilize production Python, PySpark, and frameworks such as PyTorch, TensorFlow, or JAX. The role focuses on solving technical challenges in recommender systems and ad targeting to enhance user experiences. You will provide technical leadership through design reviews and hands-on problem solving to ensure model robustness and maintainability.
What does a Data Scientist earn in California?
Median $214500 from 136 postings across 32 companies.
Translate product and business questions into scalable machine learning solutions.
Build, evaluate, and iterate on advanced deep learning models for personalization and targeting.
Design and apply rigorous offline metrics and online experimentation frameworks to measure performance.
Partner with Product and Engineering teams to align on scope and navigate technical tradeoffs.
Define and champion best practices for modeling, experimentation, and ML development.
Provide technical leadership through design reviews and hands-on problem solving.
Mentor other data scientists to improve the quality and impact of machine learning solutions.
What we're looking for
Must have a Bachelor’s degree in a related field and 3 years of analytics experience, a Master’s degree and 1 year of experience, or 5 years of experience.
Extensive experience designing, training, and deploying machine learning models for personalization, recommendation, ranking, or targeting.
Deep technical foundations in machine learning and statistics, including representation learning, deep learning architectures, optimization, experimentation, and model evaluation.
Production Python experience with expertise in distributed data tools like PySpark and frameworks such as PyTorch, TensorFlow, or JAX.
Proven ability to lead technically complex initiatives from problem formulation through deployment and evolution.
Experience influencing technical direction and establishing best practices for modeling and experimentation.
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Successful completion of assessments in Python, Spark, Scala, or R (preferred).
Generative AI
Python
LangChain
AWS
Vector Databases
RAG
Multi-Agent Systems
Machine Learning
Deep Learning
NLP
SQL
Scala
R
Time Series
Clustering
Sentiment Analysis
Statistical Modeling
Data Analytics
Python
Scala
R
SQL
Spark
AWS
Machine Learning
Deep Learning
Artificial Intelligence
Embeddings
Foundation Models
Statistical Modeling
Time Series Analysis
Sentiment Analysis
Clustering
Classification