Senior, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$117,000–$234,000 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $176k
$96k most similar roles pay here $249k

This role pays more than 63% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $176k 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 · Senior, Data Scientist

As a Senior Data Scientist on the Personalization team at Walmart Global Tech, you will develop and implement cutting-edge machine learning techniques for conversational agents, focusing on personalization and recommendation systems. Your responsibilities include researching and building advanced algorithms using deep learning, reinforcement learning, generative AI, and computer vision, as well as collaborating with tech leads to prioritize initiatives. You will also design data models and iteratively improve them based on new insights, accelerating best practices in the field of personalization and item recommendations. Ideal candidates hold a Master’s degree or PhD in Data Science or Computer Science and have extensive experience in machine learning, statistics, large-scale deep learning models, and deploying scalable recommender systems for conversational agents. This role offers an opportunity to work on groundbreaking projects that impact millions of global customers at Walmart's scale.

What you'll do

  • Develop and implement cutting-edge machine learning techniques for personalization and recommendation systems.
  • Research and build advanced algorithms using deep learning, reinforcement learning, Generative AI, and computer vision.
  • Design and architect data models to improve personalization and item recommendations iteratively.
  • Collaborate with tech leads on initiatives related to top-down or bottom-up priorities.
  • Evaluate large-scale machine learning and deep learning models for deployment in scalable recommender systems.

What we're looking for

  • Master’s degree or PhD in Data Science, Computer Science, or a related field.
  • Expertise in machine learning, statistics, generative AI, personalization, and item recommendation algorithms.
  • Experience developing and deploying large-scale machine learning and deep learning models.
  • Proficiency in building scalable recommender systems, preferably for conversational agents.
  • Curiosity and capability to innovate with state-of-the-art techniques in recommendation systems.

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