Director, Data Science

Walmart

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Bentonville, ARSunnyvale, CA
Salary
$130,000–$260,000 / yr
Posted
60 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $232k
This role $195k
$112k most similar roles pay here $297k

This role pays less than 76% of similar roles. Most pay $198,000–$266,900 — the shaded band above. At the midpoint, this role pays about $195k versus about $232k 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.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Director, Data Science

(USA) Director, Data Science leads the OneDemand Forecasting team to develop advanced demand forecasting and machine learning solutions at scale. This role involves overseeing model design, testing, validation, and continuous improvement while defining data strategies to maximize value across multiple domains. The leader will guide teams in coding, documentation, and building production-ready applications while mentoring talent to build a high-performing organization. To succeed, the candidate must possess expertise in machine learning algorithms, advanced analytical modeling, and data governance. Technical requirements include proficiency in Python, SQL, and Java, along with experience using open source frameworks like scikit learn, tensorflow, or torch. The role focuses on solving complex problems regarding demand forecasting across various items, stores, and locations to improve accuracy, scalability, and explainability while translating business requirements into actionable data-driven initiatives for the organization.

What you'll do

  • Lead the development and deployment of advanced data science solutions aligned with business strategies.
  • Oversee model design, testing, validation, and continuous improvement to ensure accuracy and robustness.
  • Define and implement data strategies that maximize the value of assets across multiple domains.
  • Guide teams in coding, testing, and documentation to deliver scalable, production-ready applications.
  • Translate complex business requirements into actionable data initiatives and measurable outcomes.
  • Mentor and develop talent to build a high-performing data science organization.
  • Drive innovation by integrating emerging machine learning techniques and data visualization best practices.

What we're looking for

  • A Bachelor's degree in a quantitative field and 6 years of experience in an analytics related field.
  • A Master's degree in a quantitative field and 4 years of experience in an analytics related field.
  • At least 8 years of experience in an analytics or related field.
  • Extensive experience in data science, machine learning algorithms, and advanced analytical modeling techniques.
  • Proficiency in programming languages including Python, SQL, and Java for code development and testing.
  • Expertise in deploying, monitoring, and scaling machine learning models in production environments.
  • Proven leadership skills in mentoring teams and managing cross-functional collaboration.
  • Strong understanding of data strategy, quality, and governance principles to drive business value.

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