below marketmost similar roles pay hereabove market
This role pays less than
66%
of similar roles. Most pay
$185,000–$261,162
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$223k
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
825 open roles
on FindRole.
Listed pay typically runs
$121,000–$242,000
across 473 roles with salary data.
The (USA) Director, Data Science joins the Data Science team to build and own statistical modeling engines for retail media commercial operations. This role involves architecting multi-tier hierarchical forecasting models for ad delivery metrics, designing prescriptive market-sizing and growth models based on retail sales share and category elasticity, and developing machine-learning clustering models for behavioral segmentation. You will lead and mentor a high-performing team of data scientists to translate complex data into actionable insights. Required technical skills include proficiency in Python, SQL, and Java, along with expertise in advanced machine learning algorithms, analytical modeling, and data visualization. You will solve business problems related to inventory pacing, advertiser growth, and operational workflows within a closed-loop media business environment to drive measurable value and sustainable growth.
Build and maintain multi-tier hierarchical forecasting models for ad delivery metrics like spend and impression delivery.
Design prescriptive models to evaluate advertiser investment based on category benchmarks and retail sales share.
Develop machine-learning clustering models to segment brands and agencies by bidding behavior and growth potential.
Architect statistical modeling engines to drive commercial operations and business strategy for retail media.
Optimize operational workflows and model advertiser growth using algorithmic precision.
Hire, develop, and lead a high-performing team of data scientists.
Translate complex business requirements into scalable data solutions and actionable insights.
What we're looking for
Option 1: Bachelor’s Degree in Marketing, Business Administration, or related field and 4 years' experience in Marketing, Business Administration, or related field.
Option 2: 7 years' experience in Marketing, Business Administration, or related field.
Extensive experience in data science, including advanced machine learning algorithms and analytical modeling techniques.
Proficiency in programming languages such as Python, SQL, and Java for code development, testing, and deployment.
Strong understanding of data strategy, data quality, and data governance principles.
Expertise in data visualization tools and techniques to communicate complex insights effectively.
Leadership skills to mentor teams, manage projects, and foster continuous improvement and innovation.
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics (preferred); Successful completion of assessments in Python, Spark, Scala, or R (preferred); Supervisory experience (preferred).
Machine Learning
Python
SQL
Spark
Scala
R
scikit learn
TensorFlow
Data Modeling
Optimization Models
Data Visualization
Statistics
Econometrics
Operations Research
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
Java
Machine Learning
Operations Research
Optimization
Simulation
Spark
Scala
R
TensorFlow
scikit learn
data visualization
data strategy
WCAG) 2.2 AA
Machine Learning
Python
Spark
Scala
R
scikit learn
TensorFlow
Data Science
Feature Engineering
Data Strategy
Data Visualization
Model Validation
Optimization Models
WCAG) 2.2 AA
Machine Learning
Deep Learning
Python
Spark
TensorFlow
scikit learn
Scala
R
Distributed Training
Low-latency Inference
RecSys
Optimization Models
WCAG) 2.2 AA
Data Science
Statistics
Operations Research