Distinguished, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$169,000–$338,000 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $254k
$85k most similar roles pay here $365k

This role pays more than 94% of similar roles. Most pay $126,800–$199,850 — the shaded band above. At the midpoint, this role pays about $254k 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 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 · Distinguished, Data Scientist

Join Walmart Global Tech as a Distinguished Data Scientist where you will lead the development of AI and machine learning strategies that drive business objectives at enterprise scale. You will design, develop, and deploy advanced analytical models including predictive modeling, optimization, NLP, and computer vision systems while mentoring teams to foster innovation and operational excellence. This role involves collaborating with cross-functional teams to deliver scalable solutions and presenting complex insights to executive leadership. Ideal candidates have over 10 years of experience in data science and machine learning, expertise in Python, R, SQL, Java, C++, and modern ML frameworks, and a deep understanding of big data ecosystems and cloud technologies. You will work on large-scale retail challenges, ensuring data governance and compliance while driving measurable business impact.

What you'll do

  • Develop and drive long-term AI and data science strategy aligned with business objectives.
  • Design and deploy scalable machine learning models to solve complex enterprise challenges.
  • Translate business problems into measurable, scalable data science solutions with clear KPIs.
  • Mentor teams of data scientists and engineers in model deployment and lifecycle management.
  • Lead innovation by leveraging new algorithms, technologies, and emerging AI methodologies.

What we're looking for

  • 10+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
  • Extensive hands-on expertise with Python, R, SQL, Java, C++, and modern ML frameworks.
  • Proven track record leading large-scale enterprise AI initiatives and mentoring technical teams.
  • Strong business acumen and ability to translate complex problems into scalable data science solutions.
  • Deep understanding of big data ecosystems, distributed platforms, cloud technologies, and MLOps practices.
  • Expertise in statistical modeling, optimization techniques, predictive analytics, and advanced AI/ML methods.

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