below marketmost similar roles pay hereabove market
This role pays less than
60%
of similar roles. Most pay
$155,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$185k
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
719 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 592 roles with salary data.
The (USA) Senior Manager, Data Science - Perishable Strategy joins the Supply Chain Strategy team to lead advanced analytical initiatives. This role involves developing, validating, and deploying robust machine learning models to drive strategic business decisions and improve operational efficiency. You will collaborate with cross-functional teams to translate complex data into actionable insights, specifically focusing on the Perishable First Mile network. Day-to-day responsibilities include modeling perishable capacity, temperature-zone mix, and lead time to shelf across distribution centers and forward-deployed assets to improve freshness and coverage while reducing cost-to-serve. You will utilize Python, SQL, and data visualization tools to build scalable solutions. The role requires expertise in statistical modeling, machine learning, and model assessment to solve complex supply chain challenges regarding assortment, speed, and cost.
What does a Data Science Manager earn?
Median $211200 from 40 postings across 10 companies.
Develop, validate, and deploy robust machine learning models to drive strategic business decisions.
Translate complex business challenges into actionable data-driven strategies and insights.
Model perishable capacity, temperature-zone mix, and lead time to shelf across distribution centers.
Use Python and SQL to build and deploy scalable data solutions and analytical models.
Provide strategic input and analytical support to working groups for supply chain initiatives.
Create data visualizations to communicate complex findings to various business stakeholders.
Mentor associates and guide technical development to promote best practices in data science.
Ensure model accuracy and robustness through rigorous assessment, tuning, and deployment.
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 analytics experience.
Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field and 3 years of analytics experience.
Option 3: 7 years of experience in an analytics or related field.
Extensive experience in data science, machine learning, and advanced statistical methods to develop and validate complex models.
Proficiency in Python and SQL for coding, testing, and deploying scalable data solutions.
Strong expertise in data visualization tools and techniques to communicate insights to stakeholders.
Proven leadership skills to mentor teams, guide technical development, and drive continuous improvement in analytics practices.
PhD in Machine Learning, Computer Science, IT, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Python
SQL
Machine Learning
Optimization Models
Spark
Scala
R
scikit learn
TensorFlow
Data Visualization
Statistics
Operations Research
Econometrics
AI
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