(USA) Senior Director, Data Science

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$160,000–$320,000 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $240k
$86k most similar roles pay here $345k

This role pays more than 88% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $240k versus about $163k 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 191 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 184 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Senior Director, Data Science

Join Walmart's Data Science team as a Senior Data Scientist where you will collaborate with diverse business stakeholders to formulate complex data-driven solutions. Your daily tasks include designing advanced analytical models, deploying scalable machine learning systems, and mentoring junior associates. Proficiency in Python, R, SQL, and experience with frameworks like TensorFlow and Spark are essential. You’ll work on cutting-edge projects that leverage big data analytics and automation techniques to solve real-world business challenges. This role demands a deep understanding of statistical methods, optimization techniques, and the ability to articulate complex technical solutions to non-technical stakeholders.

What you'll do

  • Formulate complex organizational problems into technology-focused solutions by collaborating with business stakeholders.
  • Translate business requirements into strategies and projects aligned with overall business objectives, driving execution and ROI.
  • Develop advanced analytical models using machine learning techniques to support business initiatives and programs.
  • Deploy predictive technologies and ensure model sustainability through monitoring and lifecycle management practices.
  • Create compelling data visualizations and integrate insights into cohesive stories for diverse stakeholder audiences.

What we're looking for

  • PhD in Machine Learning, Computer Science, or related field required.
  • 10 years' experience in data science, machine learning, optimization models, or related fields.
  • Successful completion of assessments in Python, Spark, Scala, or R.
  • 5 years’ experience using open source frameworks like scikit learn, TensorFlow, and PyTorch.
  • 3 years' supervisory experience in analytics-related roles.

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