This role pays less than
70%
of similar roles. Most pay
$126,800–$195,000
— the shaded band above.
At the midpoint, this role pays about
$135k
versus about
$161k
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.
As a (USA) Senior, Data Scientist - Retail Intelligence, you will join a multidisciplinary innovation team focused on developing advanced analytics, machine learning, and generative AI solutions to improve retail decision-making. You will build rapid prototypes, LLM-based agents, and scalable AI capabilities while translating complex business challenges into technical requirements across store operations, supply chain, and workforce domains. Your daily work involves collaborating with cross-functional teams to develop decision intelligence systems, experimentation plans, and reusable frameworks. To succeed, you must possess a strong foundation in data science, machine learning, optimization, and analytics. You will utilize tools such as Python, Spark, Scala, or R, along with open-source frameworks like scikit learn, tensorflow, and torch. This role solves critical operational problems by applying emerging technologies to create scalable solutions for the retail industry.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Develop machine learning, advanced analytics, and generative AI prototypes to solve retail business challenges.
Build scalable AI solutions including LLM-based agents and decision intelligence systems.
Translate complex business problems into structured product opportunities and technical requirements.
Establish best practices for rapid prototyping, AI experimentation, and productionization workflows.
Identify opportunities to apply emerging technologies like optimization and simulation to retail use cases.
Create reusable frameworks and scalable capabilities to support multiple business domains.
Communicate technical concepts and trade-offs clearly to cross-functional stakeholders.
What we're looking for
A Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field with 3 years of experience in an analytics field.
A Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field with 1 year of experience in an analytics field.
At least 5 years of experience in an analytics or related field.
Strong technical foundation in data science, machine learning, optimization, analytics, or applied AI.
Hands-on experience building prototypes, analytics workflows, dashboards, or AI-enabled solutions.
Experience with generative AI, LLM applications, agent frameworks, or AI automation workflows.
Ability to bridge business problems with technical solution development and product thinking.
Strong communication skills to convey technical concepts and trade-offs to cross-functional stakeholders.
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
LLM
Agentic Workflows
Python
SQL
Spark
Scala
R
scikit learn
TensorFlow
Data Engineering
Machine Learning
System Design
Evaluation Frameworks
Data Governance
WCAG) 2.2 AA