Director, Data Science

Walmart

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Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$130,000–$260,000 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $219k
This role $195k
$113k $290k
below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $175,500–$262,276 — the blue band above. At the midpoint, this role pays about $195k versus about $219k 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 724 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 593 roles with salary data.

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At a glance

TL;DR · Director, Data Science

The (USA) Director, Data Science leads the TAXI team, which manages Tax Transformation and Modernization initiatives and supports Walmart Claims. In this role, you will lead the development and deployment of advanced data science solutions, overseeing model design, validation, and continuous improvement. You will define data sourcing strategies, ensure data quality, and mentor teams on feature engineering, automation, and analytical modeling best practices. The position requires proficiency in Python programming, machine learning algorithms, and statistical techniques. You will also utilize tools such as Spark, Scala, R, and open source frameworks like scikit-learn, tensorflow, and torch. The work involves building scalable platforms to improve tax determination, exemptions, and governance while applying analytics to identify patterns and automate processes for claims operations.

What you'll do

  • Lead the development and deployment of advanced data science solutions to drive measurable business impact.
  • Oversee model design, validation, and continuous improvement using machine learning and statistical techniques.
  • Define data sourcing strategies to ensure high data quality and relevance for analytical initiatives.
  • Translate complex business requirements into actionable data science projects and data-driven strategies.
  • Mentor teams on feature engineering, automation, and analytical modeling best practices.
  • Drive data visualization efforts to communicate complex insights effectively to stakeholders.
  • Establish and implement data strategy frameworks to support model scalability and sustainability.

What we're looking for

  • Obtain a Bachelor's degree in a related field with 6 years of experience in an analytics related field.
  • Obtain a Master's degree in a related field with 4 years of experience in an analytics related field.
  • Possess 8 years of experience in an analytics or related field.
  • Demonstrate extensive experience in data science, machine learning algorithms, and feature engineering.
  • Maintain proficiency in Python programming and automation to streamline data processes and model deployment.
  • Exhibit strong knowledge of data strategy, management, and quality standards.
  • Provide proven leadership skills to mentor teams and foster cross-functional collaboration.
  • Possess a PhD in Machine Learning, Computer Science, IT, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).

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