Principal Data Scientist

Walmart

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Quick summary

Work type: On-site
Location: Sunnyvale, CABentonville, AR
Salary: $143,000–$286,000 / yr
Employment: Full-time
Posted: 34 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $214k

$101k most similar roles pay here $306k

This role pays more than 85% of similar roles. Most pay $145,000–$214,500 — the shaded band above. At the midpoint, this role pays about $214k 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 333 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 268 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Principal Data Scientist

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As a (USA) Principal, Data Scientist, you will join the Applied Science team for Last Mile Delivery to develop and deploy advanced analytical models and machine learning solutions. You will be responsible for identifying root causes of business problems, validating data sources, and building predictive and prescriptive models using Python, SQL, and various statistical techniques. The role involves managing the full model lifecycle, including tuning and deployment, while mentoring team members on technical best practices and data visualization. Your work focuses on solving complex logistics challenges such as optimizing routing, trip pricing, driver trip matching, delivery commitments, and capacity management to ensure platform trust and safety. You will utilize expertise in deep learning, reinforcement learning, and solution architecture to drive operational efficiency within the last mile delivery domain.

What does a Data Scientist earn in California?

Median $214500 from 102 postings across 35 companies.

See salary data

Skills

Python SQL Machine Learning Deep Learning Statistical Analysis Spark Scala R scikit learn TensorFlow Reinforcement Learning Data Visualization Predictive Analytics Optimization Models WCAG) 2.2 AA

What you'll do

Develop, test, and deploy advanced machine learning and deep learning solutions using Python and SQL.
Analyze complex business problems to identify root causes and recommend data-driven strategies.
Identify, assess, and validate high-quality data sources for modeling and analytics.
Build and validate predictive and prescriptive models using statistical techniques and reinforcement learning.
Translate stakeholder requirements into actionable data strategies and measurable outcomes.
Monitor model performance and manage the full lifecycle to ensure scalability and impact.
Mentor team members on analytical methods, model development, and data visualization best practices.

What we're looking for

A Bachelor's degree in a quantitative field with 5 years of experience in an analytics related field.
A Master's degree in a quantitative field with 3 years of experience in an analytics related field.
At least 7 years of experience in an analytics or related field.
Extensive experience developing and deploying machine learning and deep learning models using Python.
Proficiency in statistical analysis, exploratory data analysis, and advanced modeling techniques like reinforcement learning.
Expertise in model validation, tuning, deployment, and lifecycle management for scalable solutions.
Strong knowledge of data sourcing, quality assessment, and managing complex data ecosystems.
Ability to mentor team members on analytical methods, model development, and data visualization.

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