This role pays less than
67%
of similar roles. Most pay
$162,000–$214,621
— the shaded band above.
At the midpoint, this role pays about
$165k
versus about
$188k
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
333 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 268 roles with salary data.
The (USA) Senior Manager, Data Science leads advanced analytical initiatives within the Supply Chain Strategy organization, specifically focusing on the Ambient First Mile strategy team. This role involves managing projects from inception to completion, including data collection, manipulation, analysis, and modeling to optimize supply chain strategies. The successful candidate will build scalable models to balance operating costs with asset efficiency while improving the customer experience. Key responsibilities include mentoring associates, translating complex business challenges into data-driven solutions, and ensuring alignment with business objectives. Required technical skills include proficiency in Python, SQL, machine learning techniques, advanced statistical modeling, and data visualization tools. The work addresses specific supply chain problems such as asset planning and network optimization to enhance overall operational efficiency and deliver measurable business impact.
What does a Data Science Manager earn?
Median $211200 from 33 postings across 11 companies.
Develop, validate, and deploy robust machine learning models to drive strategic business decisions.
Manage and execute end-to-end projects including data collection, manipulation, and analysis.
Build scalable supply chain models to optimize asset efficiency and customer experience.
Translate complex business challenges into actionable data-driven solutions and insights.
Communicate technical findings and recommendations to business partners and management.
Obtain alignment from stakeholders to lead organizational change and project execution.
Use Python and SQL to develop scalable models and perform advanced statistical modeling.
What we're looking for
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field and 5 years of experience in an analytics related field.
Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field and 3 years of experience in an analytics related field.
Option 3: 7 years of experience in an analytics or related field.
Extensive experience in data science with strong proficiency in machine learning techniques and advanced statistical modeling.
Proficiency in programming languages such as Python and SQL.
Skilled in data visualization tools and techniques to communicate insights to business stakeholders.
Experience in creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards (preferred).
PhD in Machine Learning, Computer Science, IT, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Python
SQL
Machine Learning
Spark
Scala
R
scikit learn
TensorFlow
Data Engineering
Data Visualization
Exploratory Data Analysis
Feature Engineering
Optimization Models
WCAG) 2.2 AA
Python
SQL
Machine Learning
Data Visualization
Spark
Scala
R
scikit learn
TensorFlow
Generative AI
Predictive Modeling
Exploratory Data Analysis
Feature Engineering
WCAG) 2.2 AA
Tableau
Power BI
SQL
Python
Spark
Scala
R
Big Data
Data Modeling
Data Visualization
Data Quality Management
Geospatial Tools
Exploratory Data Analysis
AI Tools
Tableau
Power BI
SQL
Python
Spark
Scala
R
Data Modeling
Data Visualization
Big Data
Data Governance
Geospatial Tools
Data Quality Management
Exploratory Data Analysis
Statistics
AI Tools