below marketmost similar roles pay hereabove market
This role pays less than
79%
of similar roles. Most pay
$146,156–$197,000
— the blue band above.
At the midpoint, this role pays about
$135k
versus about
$172k
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.
JOB TITLE: (USA) Senior, Data Scientist
As a Senior Data Scientist within the Inventory Decision Intelligence team, you will develop data-driven solutions to optimize how inventory is ordered, positioned, and managed across the network. You will design, test, and deploy scalable machine learning models and optimization models to power automated decision-making systems. Your daily work involves performing exploratory data analysis, feature engineering, and rigorous validation to translate complex business problems into actionable insights. You will utilize Python, SQL, NoSQL systems, and data science libraries like scikit-learn, tensorflow, and torch. The role requires expertise in operations research, statistical methods, and mathematical optimization to improve inventory availability and reduce operating costs. You will also create data visualizations to communicate findings and ensure compliance with data governance and quality standards throughout the project lifecycle.
What does a Data Scientist earn in California?
Median $214500 from 134 postings across 32 companies.
Design and implement optimization models and machine learning solutions for automated inventory management.
Develop, test, and deploy scalable models using advanced statistical and mathematical optimization techniques.
Identify and evaluate data sources that align with business requirements and quality standards.
Perform exploratory data analysis and feature engineering to support model development and decision logic.
Translate complex business problems into decision-driven, data-informed solutions for stakeholders.
Create clear data visualizations to communicate analytical findings and support executive decision-making.
Ensure compliance with data governance, quality, and deployment standards throughout the project lifecycle.
What we're looking for
Must have a Bachelor’s degree in a related field and 3 years of analytics experience, a Master’s degree and 1 year of experience, or 5 years of experience.
Experience designing and developing optimization models and machine learning solutions for automated decision-making systems.
Strong foundation in advanced statistical methods, machine learning, and mathematical optimization techniques.
Proficiency in Python and relevant data science libraries.
Knowledge of database technologies including SQL and NoSQL systems.
Ability to develop, test, validate, and deploy scalable models for production readiness.
Ability to translate complex business requirements into data-informed solutions and create clear data visualizations.
Successful completion of assessments in Python, Spark, Scala, or R (preferred).
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
Python
Machine Learning
Predictive Modeling
Spark
Scala
R
TensorFlow
scikit learn
Data Visualization
Large Language Modeling
Exploratory Data Analysis
Optimization Models
WCAG) 2.2 AA