below marketmost similar roles pay hereabove market
This role pays less than
59%
of similar roles. Most pay
$165,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$190k
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
713 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 610 roles with salary data.
JOB TITLE: (USA) Principal, Data Scientist
The Principal Data Scientist joins the Retail Intelligence team to lead the development and deployment of advanced AI models designed to enhance operational efficiency across retail stores. In this role, you will analyze complex business problems to identify root causes, source high-quality data from multiple systems, and build scalable production models. You will be responsible for mentoring team members on coding best practices, performing model assessments, and ensuring the robustness of analytical solutions. The position requires proficiency in Python, SQL, and Java, along with expertise in machine learning, deep learning, and MLOps practices. You will utilize statistical analysis and data visualization tools to translate business requirements into actionable initiatives, specifically focusing on rapid prototyping of agentic AI and simulation models within a dynamic retail data ecosystem.
What does a Data Scientist earn?
Median $173200 from 329 postings across 60 companies.
Develop, test, and deploy advanced machine learning models using Python and SQL.
Analyze business problems to identify root causes and recommend data-driven solutions.
Identify, source, and validate high-quality data from multiple systems for analytical modeling.
Lead model assessment, validation, and continuous improvement to ensure production scalability.
Translate business requirements into actionable data science initiatives with key stakeholders.
Mentor team members on advanced analytics techniques, coding best practices, and data visualization.
Implement MLOps practices to deploy scalable models in production environments.
What we're looking for
Obtain 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.
Develop and test code using Python, SQL, and Java.
Demonstrate proficiency in machine learning algorithms, deep learning, and advanced statistical analysis.
Apply MLOps practices to deploy scalable models in production environments.
Identify and validate high-quality data sources and perform data quality assessments.
Translate complex business problems into analytical models and communicate insights using data visualization tools.
Provide leadership by mentoring team members and driving cross-functional collaboration.
Experience in data science, optimization models, or holding a PhD in a related field (preferred).
Python
Machine Learning
Optimization
Statistical Analysis
Deep Learning
AWS SageMaker
GCP
Spark
Scala
R
scikit learn
TensorFlow
Data Visualization
Model Validation
Operations Research
GenAI
LLMs
Python
Machine Learning
Deep Learning
Spark
Hive
GCP
Azure
CI/CD
TensorFlow
scikit learn
Distributed Systems
ML Pipelines
Natural Language Processing
Scala
R