Principal Data Scientist

Walmart

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$144,040–$220,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Closes
Nov 11, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $182k
$120k $236k
below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $145,113–$214,500 — the blue band above. At the midpoint, this role pays about $182k versus about $180k 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 939 open roles on FindRole.

Listed pay typically runs $117,000–$220,000 across 538 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Principal Data Scientist

The Principal, Data Scientist joins the team to formulate technical problems and translate complex business requirements into scalable, production-grade data science solutions. You will identify root causes for business issues, define success metrics, and mentor team members on new insights. Day-to-day responsibilities include performing exploratory data analysis, identifying data sources, and developing iterative models for large-scale structured and unstructured datasets. You will utilize a robust technical stack including Python, C++, R, SQL, and Spark, while leveraging frameworks like TensorFlow, PyTorch, and Scikit-learn. Expertise in Google Cloud, Azure, and BigQuery is essential for building automated solutions. You will apply advanced statistical methods, including Bayesian inference, neural networks, and optimization techniques like Gradient Descent, to deliver demonstrable value across various business domains.

What does a Data Scientist earn?

Median $173200 from 344 postings across 66 companies.

See salary data

What you'll do

  • Analyze business problems to identify root causes and recommend technology-focused solutions.
  • Translate business requirements into actionable strategies, initiatives, and production-grade data science projects.
  • Define key metrics and success criteria to quantify the business impact of technical deliverables.
  • Identify suitable data sources, perform initial quality checks, and manage data requirements.
  • Select and develop appropriate modeling techniques for complex problems using large-scale structured and unstructured datasets.
  • Conduct exploratory data analysis and design experiments to identify trends and create test-and-learn frameworks.
  • Develop and train machine learning algorithms by leveraging the latest trends in AI and deep learning.
  • Review the deliverables of junior associates and provide guidance on data sources and quality.

What we're looking for

  • Master’s degree in a quantitative field plus 3 years of analytics experience, or a Bachelor’s degree plus 5 years of analytics experience.
  • Experience implementing data science solutions on cloud environments like Google Cloud or Azure.
  • Proficiency in object-oriented programming languages such as Python or C++.
  • Experience using statistical software like R and ML/Deep learning frameworks including Scikitlearn, TensorFlow, PyTorch, and Keras.
  • Experience with Big Data technologies such as BigQuery, Spark, Hive, Hadoop, Databricks, and Snowflake.
  • Proficiency in SQL for database querying and setting up ETL jobs with Glue, Knime, or Alteryx.
  • Experience with data visualization tools such as Tableau, PowerBI, Matplotlib, Seaborn, and ggplot.
  • Experience deploying production-grade solutions using MLflow, Docker, and Kubernetes.

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