This role pays less than
70%
of similar roles. Most pay
$126,800–$192,500
— the shaded band above.
At the midpoint, this role pays about
$135k
versus about
$160k
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) Senior, Data Scientist joins the Purchase Experience Analytics team within eCommerce Decision Science to enhance customer experience across fulfillment, conversion funnels, and post-transaction touchpoints. This role involves sourcing and validating data, analyzing customer journey behavioral patterns, designing digital experiments, and developing predictive models to support business objectives. You will perform exploratory data analysis, feature engineering, and create impactful data visualizations to influence decision-making. The position requires proficiency in Python, SQL, and statistical methods, including frequentist approaches, while utilizing in-house agentic and generative AI tools. You will also mentor junior colleagues on coding best practices and data storytelling. The work focuses on solving complex business problems by translating requirements into data-driven solutions that improve eCommerce operations and overall customer satisfaction throughout the purchase journey.
What does a Data Scientist earn in California?
Median $214500 from 102 postings across 35 companies.
Identify and source relevant data from multiple business domains while ensuring data quality.
Develop and test advanced analytical models using statistical and machine learning techniques.
Perform exploratory data analysis and feature engineering to enhance model accuracy.
Translate business requirements into data-driven solutions aligned with strategic objectives.
Create impactful data visualizations and presentations to communicate findings and influence decisions.
Mentor junior team members on analytical methods, coding best practices, and data storytelling.
Leverage agentic and generative AI tools to enable self-service for partners.
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.
Must have extensive experience in data science, machine learning, and predictive modeling.
Must be proficient in Python and SQL programming languages.
Must have strong knowledge of statistical methods, exploratory data analysis, and advanced analytical modeling.
Must have expertise in data visualization tools and best practices to communicate complex insights.
Must have the ability to identify and source appropriate data while ensuring quality and governance standards.
Must have demonstrated mentoring skills to guide junior associates in analytics and modeling techniques.
Preferred: Master’s degree in Machine Learning, Computer Science, IT, Operations Research, Statistics, Applied Mathematics, or Econometrics.
Preferred: Successful completion of one or more assessments in Python, Spark, Scala, or R.
Preferred: Experience using open source frameworks such as scikit-learn, tensorflow, or torch.
Preferred: Background in creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards.
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