This role pays more than
98%
of similar roles. Most pay
$130,249–$196,650
— the shaded band above.
At the midpoint, this role pays about
$288k
versus about
$163k
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
184 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 180 roles with salary data.
The (USA) Senior Distinguished I, Data Scientist joins a team integrating software engineering, data science, and AI to build scalable platforms for intelligent automation and customer-focused solutions. In this role, you will design and implement AI native applications using GenAI coding tools, develop advanced data visualization solutions, and create scalable machine learning models to address complex business challenges. You will collaborate with cross-functional teams to translate business needs into data-driven strategies while mentoring others on analytics best practices and data governance. The position requires proficiency in Python, R, SQL, Java, and Spark, along with experience using tools like Tableau and PowerBI. You will leverage advanced statistical methods and machine learning algorithms to provide actionable insights, ensuring that all products are production-ready and aligned with organizational objectives within the retail domain.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Design and implement AI-native applications and software products using GenAI coding tools.
Develop advanced data visualization solutions to communicate complex insights effectively.
Translate business needs into data-driven strategies and actionable models for stakeholders.
Lead the development and deployment of scalable data analysis products aligned with business objectives.
Define data governance standards and quality guidelines to support robust analytical modeling.
Mentor teams on best practices in analytics, visualization, validation, and GenAI development.
Influence strategic decisions by integrating data insights with business context and ROI evaluation.
What we're looking for
A Bachelor’s degree plus 7 years of experience in an analytics field, a Master’s degree plus 5 years of experience, or 9 years of experience is required.
Extensive expertise in data science, including advanced statistical methods and machine learning algorithms.
Proficiency in Python, R, Tableau, and PowerBI to create compelling data stories and visualizations.
Skilled in coding languages including Python, SQL, and Java with a focus on testing and deployment.
Experience developing software products using GenAI coding tools.
Strong understanding of data governance, quality standards, and ecosystem management.
Proven ability to design scalable machine learning models and influence business strategy through ROI evaluation.
Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards is preferred.
Python
SQL
Java
Machine Learning
Statistics
Spark
Scala
R
scikit learn
TensorFlow
Data Visualization
Natural Language Processing
Recommendation Systems
Optimization Models
WCAG) 2.2 AA
Machine Learning
Gen AI
Python
Spark
Scala
R
scikit learn
TensorFlow
Computer Vision
MLOps
Big Data Analytics
Multimodal Foundation Models
Optimization Models
Econometrics
WCAG) 2.2 AA
Machine Learning
Gen AI
Computer Vision
Python
Spark
Scala
R
scikit learn
TensorFlow
MLOps
Big Data Analytics
Optimization Models
Multimodal Foundation Models
Data Science
Mathematics
Statistics
Machine Learning
Python
SQL
Java
Spark
Scala
R
scikit learn
TensorFlow
Data Visualization
Optimization Models
Data Governance
Statistics
Econometrics
Operations Research
WCAG) 2.2 AA