below marketmost similar roles pay hereabove market
This role pays less than
54%
of similar roles. Most pay
$144,350–$214,500
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$179k
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
1005 open roles
on FindRole.
Listed pay typically runs
$117,000–$220,000
across 527 roles with salary data.
As a (USA) Senior Manager, Data Science, you will join the Walmart+ Data Strategy & Analytics team to lead advanced analytical initiatives. You will develop, validate, and deploy robust machine learning models to drive strategic business decisions and membership growth. Your daily responsibilities include mentoring team members, performing exploratory data analysis, and overseeing the continuous monitoring of models in production environments. You will translate complex business requirements into scalable data science solutions, focusing on opportunity sizing and test design. The role requires proficiency in Python, SQL, and data visualization tools like Tableau, Matplotlib, Plotly, or PowerBI. You will also utilize open source frameworks such as scikit-learn, tensorflow, or torch to solve technical problems and enhance operational efficiency through rigorous statistical modeling and feature engineering.
What does a Data Science Manager earn?
Median $211200 from 45 postings across 12 companies.
Lead the assessment, validation, and tuning of advanced data science models to ensure accuracy and business relevance.
Develop and implement data visualization strategies using Python libraries and Tableau to communicate insights.
Translate complex business requirements into scalable data science solutions aligned with organizational goals.
Guide and mentor team members on advanced modeling techniques, feature engineering, and data analysis best practices.
Oversee the deployment and continuous monitoring of models in production environments to maintain performance.
Drive exploratory data analysis and statistical modeling to identify trends and support data-driven decision-making.
What we're looking for
Obtain a Bachelor's degree in a related field with 5 years of analytics experience, a Master's degree with 3 years of experience, or 7 years of experience.
Possess extensive experience in data science, machine learning, and advanced statistical modeling techniques.
Demonstrate proficiency in Python, SQL, and data visualization tools like Matplotlib, Plotly, Tableau, or PowerBI.
Show expertise in model assessment, validation, tuning, feature engineering, and deploying scalable models in production environments.
Exhibit the ability to translate complex business requirements into actionable data science solutions and influence stakeholders.
Demonstrate leadership in mentoring teams and guiding technical development with a focus on business impact.
Possess a PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Have successful completion of assessments in Python, Spark, Scala, or R, and experience with open source frameworks like scikit-learn, tensorflow, or torch (preferred).
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
SQL
Python
Tableau
PowerBI
Spark
Scala
R
NoSQL
Data Visualization
Data Governance
Statistical Modeling
Data Quality Management
Big Data
Data Profiling
Exploratory Data Analysis
Data Architecture
Automation
Python
SQL
Tableau
PowerBI
Matplotlib
Plotly
Spark
Scala
R
NoSQL
Data Modeling
Data Governance
Big Data
Data Visualization
Exploratory Data Analysis
Data Quality Management
Data Science
Business Intelligence