below marketmost similar roles pay hereabove market
This role pays less than
79%
of similar roles. Most pay
$145,200–$197,000
— the blue band above.
At the midpoint, this role pays about
$135k
versus about
$171k
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.
As a (USA) Senior, Data Scientist, you will join a team of data engineers, software engineers, and business analysts to develop enterprise-scale machine learning systems. Your primary responsibility involves extracting and processing product attributes to ensure accurate taxation across all sales channels, impacting every checkout and receipt. You will identify and source data from multiple domains, perform exploratory data analysis, and engineer features to build, test, and deploy advanced analytical models. Utilizing Python, SQL, and open-source frameworks like scikit-learn, tensorflow, and torch, you will also use Spark, Scala, or R. You must apply predictive modeling, statistical methods, and MLOps to ensure model scalability. Additionally, you will create data visualizations, mentor junior peers on coding best practices, and translate complex business requirements into production-ready AI applications.
What does a Data Scientist earn?
Median $173200 from 342 postings across 62 companies.
Identify and source high-quality data from multiple business domains for analysis.
Develop, test, and deploy advanced machine learning and statistical models to solve business problems.
Perform exploratory data analysis and feature engineering to improve model accuracy.
Translate complex business requirements into scalable, data-driven AI applications.
Create impactful data visualizations and presentations to communicate findings to stakeholders.
Mentor junior team members on modeling techniques, coding best practices, and data science methodologies.
Evaluate and optimize deployed models to ensure scalability and production sustainability.
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 with strong proficiency in Python and SQL for code development and testing.
Must have expertise in machine learning techniques including predictive modeling, model assessment, tuning, and validation.
Must have solid knowledge of data visualization tools and best practices to communicate complex data insights.
Must have the ability to identify and source relevant data while ensuring data quality and alignment with business requirements.
Must have an understanding of model deployment, scalability, and MLOps to support production environments.
Must have strong analytical skills to translate business problems into data-driven solutions using advanced statistical methods.
Must have experience mentoring junior associates and collaborating cross-functionally to deliver impactful results.
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
Mathematical Optimization
SQL
NoSQL
Spark
Scala
R
scikit learn
TensorFlow
Operations Research
Statistics
Data Visualization
Data Governance
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