This role pays less than
72%
of similar roles. Most pay
$135,000–$198,000
— the shaded band above.
At the midpoint, this role pays about
$135k
versus about
$166k
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
333 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 268 roles with salary data.
The (USA) Data Scientist III joins the team developing advanced digital experiences for Walmart Business. This role focuses on creating intelligent B2B solutions for customer onboarding, verification, inventory discovery, and personalized shopping journeys using GenAI search and citation engines. You will apply advanced statistical methods and machine learning techniques to develop scalable models, conduct exploratory data analysis, and perform hypothesis testing to solve complex business challenges. Daily responsibilities include developing and optimizing code, ensuring data quality and governance, and mentoring junior associates. You will utilize a technical stack including SQL, Python, R, and Apache Spark, while applying frameworks like scikit-learn, tensorflow, and torch. The work involves translating business requirements into data-driven solutions to enhance product discovery and drive qualified traffic within a B2B commerce environment.
What does a Data Scientist earn in California?
Median $214500 from 102 postings across 35 companies.
Develop and refine analytical models using advanced statistical and machine learning techniques.
Conduct exploratory data analysis, feature selection, and hypothesis testing to generate actionable insights.
Translate business requirements into scalable data solutions and model deployments.
Develop, test, and optimize code using SQL and Python to support data pipelines.
Maintain data quality, governance, and management standards throughout the data lifecycle.
Mentor junior associates on analytical methods and best practices.
Communicate complex findings through data visualization and storytelling to influence business decisions.
What we're looking for
Must have a Bachelor's degree in a related field and 2 years of analytics experience, a Master's degree in a related field, or 4 years of analytics experience.
Must have proven expertise in data management and data quality within complex ecosystems.
Must have advanced proficiency in statistical methods, machine learning algorithms, and analytical modeling including Bayesian inference and neural networks.
Must have strong programming skills in SQL, Python, and R for code development, testing, and model deployment.
Must be able to conduct exploratory data analysis, feature engineering, and performance modeling to deliver actionable business insights.
Must have experience with big data tools such as Apache Spark for scalable model development.
Must be capable of mentoring junior associates and communicating complex findings using advanced visualization tools.
Must have knowledge of data science, optimization models, and open source frameworks like scikit-learn, tensorflow, or torch (preferred).
Python
SQL
Machine Learning
AWS SageMaker
MLOps
Spark
TensorFlow
scikit learn
R
Scala
Deep Learning
Data Visualization
Statistical Modeling
Big Data Analytics
Generative AI
Data Governance
WCAG) 2.2 AA
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