This role pays more than
68%
of similar roles. Most pay
$126,800–$179,125
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$153k
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
184 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 180 roles with salary data.
(USA) Senior, Data Scientist will join the Marketplace Tech team to transform complex marketplace data into actionable insights and production-ready models. The role focuses on improving seller success, customer experience, trust, safety, and overall growth within a two-sided platform connecting customers with third-party sellers. Key responsibilities include developing advanced statistical, machine learning, and computational algorithms, gathering and synthesizing large analytics datasets, identifying trends in big data, and communicating recommendations to business partners. The required technical toolkit includes Python, SQL, Git, and big data platforms such as Hadoop, Hive, Pig, Map Reduce, HQL, and Spark. Candidates must possess expertise in supervised and unsupervised learning, deep learning, Computer Vision, NLP, Gen AI, and Agentic AI. The role addresses the challenge of managing high-volume retail data to drive measurable impact across various retail divisions.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Develop advanced statistical models, machine learning algorithms, and computational algorithms to drive insights across various retail divisions.
Gather, validate, and synthesize raw data into large analytics datasets to support specific project goals.
Use big data analytics and advanced techniques to identify trends, patterns, and discrepancies in large volumes of data.
Determine and acquire additional data sources required to support business insights and analysis.
Build and train machine learning models for replication and use in future projects.
Communicate clear recommendations to business partners to influence future plans and drive measurable impact.
What we're looking for
A Bachelor’s degree with 3 years of experience, a Master’s degree with 1 year of experience, or 5 years of relevant experience in analytics is required.
Educational qualifications should preferably be in Computer Science, Mathematics, Statistics, or a related field.
Candidates must have very good knowledge of the foundations of machine learning and statistics.
Experience is required in supervised learning, unsupervised learning, deep learning, Computer Vision, and NLP.
Proficiency in Gen AI and Agentic AI is required.
Strong experience with Python, Data Structures, SQL, and Git is required.
Experience with big data platforms including Hadoop (Hive, Pig, Map Reduce, HQL, Scala, Spark) is required.
Ability to develop advanced statistical models and machine learning algorithms to solve complex business problems is required.
Machine Learning
Gen AI
Computer Vision
Python
Spark
Scala
R
scikit learn
TensorFlow
MLOps
Big Data Analytics
Optimization Models
Multimodal Foundation Models
Data Science
Mathematics
Statistics
Machine Learning
Gen AI
Python
Spark
Scala
R
scikit learn
TensorFlow
Computer Vision
MLOps
Big Data Analytics
Multimodal Foundation Models
Optimization Models
Econometrics
WCAG) 2.2 AA