below marketmost similar roles pay hereabove market
This role pays less than
66%
of similar roles. Most pay
$175,500–$259,960
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$218k
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
713 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 610 roles with salary data.
The (USA) Director, Data Science leads the Merchandising Decision Sciences organization in developing advanced data science strategies to drive business insights. This role involves overseeing the design, testing, and deployment of machine learning models and analytical solutions to identify causal drivers of customer behavior. You will mentor technical teams in coding, validate algorithms, and translate complex data into actionable merchandising strategies regarding assortment, price, inventory, and channel allocation. The position requires proficiency in Python, SQL, Spark, Scala, and R, alongside experience with open source frameworks like scikit-learn, tensorflow, and torch. You will also utilize optimization tools, data modeling techniques, and data visualization tools to evaluate trade-offs and constraints, ultimately providing coordinated actions that enhance overall customer and enterprise value within the retail domain.
Lead the development and deployment of advanced data science models to solve complex business challenges.
Oversee the formulation of data strategies to ensure alignment with organizational objectives and measurable impact.
Mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models.
Translate business requirements into actionable data-driven solutions and insights through cross-functional collaboration.
Evaluate model performance, scalability, and sustainability across multiple data environments to drive continuous improvement.
Communicate complex data findings to stakeholders to influence executive decision-making and support organizational goals.
Deploy, monitor, and scale analytical models to ensure sustained business impact and operational efficiency.
What we're looking for
Must have a Bachelor's degree in a related field and 6 years of analytics experience, a Master's degree and 4 years of experience, or 8 years of experience.
Experience in data science, including machine learning algorithms, optimization tools, and data modeling techniques.
Experience in programming languages such as Python and SQL for code development and testing.
Experience developing business case models and performing financial analysis.
Strong business acumen to translate complex data insights into actionable strategies.
Expertise in data visualization tools and techniques to communicate findings to stakeholders.
Proven leadership skills in mentoring teams and driving data strategy across multiple business domains.
Ability to deploy, monitor, and scale analytical models to ensure sustained business impact.
Python
SQL
Machine Learning
Operations Research
Optimization
Spark
Scala
R
Java
TensorFlow
scikit learn
Data Visualization
Simulation
Data Strategy
WCAG) 2.2 AA
Machine Learning
Python
SQL
Java
Spark
Scala
R
scikit learn
TensorFlow
Data Visualization
Data Strategy
Data Governance
Optimization Models
Statistics
Econometrics
Model Validation
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