Distinguished Data Scientist

Walmart

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$169,000–$338,000 / yr
Employment
Full-time
Posted
19 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $254k
$105k $363k
below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $149,906–$228,425 — the blue band above. At the midpoint, this role pays about $254k versus about $189k 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 719 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 592 roles with salary data.

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At a glance

TL;DR · Distinguished Data Scientist

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As a Distinguished, Data Scientist on the Walmart Ads Data Science team, you will set the technical vision for generative ad creative systems. You will build and leverage generative models to produce high-quality images, copy, and video assets at scale while designing automated evaluation systems to judge model output for quality, calibration, and policy violations. Your daily work involves creating structured representations of creative content for downstream targeting and performance measurement, as well as architecting shared infrastructure for generation pipelines. You will utilize deep expertise in generative AI, computer vision, and multi-modal generation. Key technical skills include Python, Spark, Scala, R, and open source frameworks like scikit-learn, TensorFlow, and Torch to solve complex problems in automated content composition and creative intelligence.

What does a Data Scientist earn in California?

Median $214500 from 134 postings across 32 companies.

See salary data

Skills

Generative AI Computer Vision Machine Learning Python Spark Scala R TensorFlow scikit learn model-evaluation Data Science Optimization Models Multi-modal Generation Drift Detection WCAG) 2.2 AA

What you'll do

  • Set the technical vision and roadmap for generative ad creative systems producing images, copy, and video.
  • Design and own automated systems to evaluate generated creative quality using model-as-judge approaches.
  • Build structured representations of creative content to provide reusable signals for targeting and measurement.
  • Drive advances in automated content composition using computer vision and generative techniques across multiple formats.
  • Architect shared infrastructure for evaluation harnesses and generation pipelines to scale creative-AI capabilities.
  • Translate ambiguous creative-product goals into a concrete, sequenced technical roadmap with product and engineering leadership.

What we're looking for

  • Must have 10+ years of applied ML/DS experience with deep expertise in generative AI and computer vision.
  • Must have proven experience designing automated model-evaluation systems for generative output at production scale.
  • Must have a strong computer vision background in image understanding, composition, and artifact detection.
  • Must have a track record of taking generative ML systems from prototype to production with safety and policy constraints.
  • Must demonstrate technical leadership at a Distinguished scope, influencing across multiple workstreams and ambiguous requirements.
  • Must possess excellent communication skills to translate technical tradeoffs for senior product and business audiences.
  • Must meet one of three education/experience paths: Bachelor's with 6 years analytics experience, Master's with 4 years, or 8 years total experience.
  • PhD in Machine Learning, Computer Science, or related field (preferred); publications or active peer reviewer status (preferred).

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