Director, Data Science

Walmart

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$156,000–$312,000 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $234k
$110k most similar roles pay here $334k

This role pays more than 82% of similar roles. Most pay $135,000–$214,587 — the shaded band above. At the midpoint, this role pays about $234k versus about $175k 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 239 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 232 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Director, Data Science

As Director of Data Science at Walmart Marketplace, you will lead a team focused on technical innovation and operational excellence by developing large-scale machine learning systems and driving AI advancements. Your responsibilities include mentoring data scientists and engineers, collaborating with cross-functional teams to enhance marketplace KPIs, and overseeing the entire data science lifecycle from model design to deployment. You will also ensure robust governance and ethical practices in AI while staying abreast of industry trends. The role requires extensive experience with ML development, proficiency in Python, SQL, Java, and familiarity with tools like TensorFlow, PyTorch, and HuggingFace. Ideal candidates have a strong background in data science, machine learning algorithms, and data visualization, along with proven leadership skills and hands-on experience in MLOps and generative AI technologies.

What you'll do

  • Lead and mentor a team of data scientists and engineers dedicated to Walmart Marketplace initiatives.
  • Oversee the end-to-end lifecycle of data science projects from problem scoping to impact measurement.
  • Drive innovation in AI models by experimenting with new algorithms and technologies.
  • Ensure robust governance, monitoring, and ethical practices for all ML models.
  • Communicate complex technical concepts and business impacts effectively to senior leadership.

What we're looking for

  • Over 15 years of experience in full ML development lifecycle.
  • Extensive hands-on expertise in machine learning, computer vision, NLP, and generative AI technologies.
  • Proficiency in Python, SQL, Java, TensorFlow, PyTorch, and other relevant tools.
  • Strong leadership skills for mentoring teams and managing projects in data science.
  • Ability to translate complex business requirements into actionable data-driven solutions.
  • Expertise in data visualization and communication of technical concepts to stakeholders.
  • Experience with MLOps lifecycle and model governance practices.

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