This role pays less than
65%
of similar roles. Most pay
$162,000–$214,500
— 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
328 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 277 roles with salary data.
The (USA) Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust models that drive strategic business decisions. Working within a team dedicated to delivering fresh groceries nationwide, you will lead the development of analytical models, guide feature engineering, and perform exploratory data analysis on structured and unstructured data. You will design data visualization strategies to communicate insights to stakeholders and oversee model deployment and monitoring in production environments. The role requires proficiency in Python, SQL, and visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. You must apply machine learning techniques and statistical modeling to solve complex problems. Key responsibilities include mentoring team members on best practices while ensuring all technical solutions align with specific business objectives and operational requirements.
What does a Data Science Manager earn?
Median $211200 from 32 postings across 11 companies.
Lead the development, assessment, and validation of advanced analytical models to ensure accuracy and business alignment.
Guide feature engineering, exploratory data analysis, and the application of machine learning techniques to solve complex problems.
Design and implement data visualization strategies to communicate model outcomes and insights to stakeholders.
Translate business requirements into scalable data science solutions in collaboration with cross-functional teams.
Oversee model deployment, monitoring, and continuous improvement within production environments.
Mentor and develop team members to foster technical expertise and adherence to best practices.
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 such as Matplotlib, Plotly, Tableau, or PowerBI.
Show strong knowledge of model assessment, validation, and tuning methods to ensure accuracy and robustness.
Exhibit expertise in exploratory data analysis, feature engineering, and deployment of scalable models in production environments.
Demonstrate proven leadership skills in mentoring and guiding teams on advanced analytics and modeling best practices.
Possess effective communication skills to present insights and influence stakeholders using data-driven storytelling.
Have experience with data science, optimization models, or a PhD in a related field (preferred).
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
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