(USA) Staff, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$110,000–$220,000 / yr
Posted
26 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k
This role $165k
$95k most similar roles pay here $233k

This role pays more than 58% of similar roles. Most pay $126,800–$195,813 — the shaded band above. At the midpoint, this role pays about $165k versus about $161k 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 188 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 182 roles with salary data.

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View all roles at Walmart

At a glance

TL;DR · (USA) Staff, Data Scientist

As a full-stack Staff Data Scientist for Walmart Marketplace, you will be responsible for building scalable end-to-end data science solutions, owning the MLOps lifecycle from data monitoring to model management. You will develop and maintain scalable infrastructure like Kafka pipelines for unified logging and apply SRE principles to optimize cloud deployments and monitor performance. Additionally, you will lead code reviews, mentor junior team members, and provide architectural guidance on complex projects. Key responsibilities include building continuous training and inference pipelines, enhancing data feedback workflows, and collaborating with stakeholders to align AI solutions with Walmart’s business objectives. The role requires strong knowledge of machine learning foundations, experience in big data analytics platforms like Hadoop and Spark, proficiency in Python and SQL, and hands-on experience with Git. This position is integral to providing the best marketplace experience for sellers and customers through robust technical solutions at a large scale.

What you'll do

  • Own the MLOps lifecycle from data monitoring to model management.
  • Develop and maintain scalable MLOps infrastructure for unified logging.
  • Apply SRE principles to optimize cloud deployments and monitor performance.
  • Lead code reviews and mentor junior machine learning engineers.
  • Build continuous, distributed training pipelines for Marketplace initiatives.
  • Enhance data feedback workflows to improve labeling team efficiency.
  • Consult with stakeholders to deploy holistic ML solutions post-prototyping.

What we're looking for

  • Extensive experience in machine learning, including supervised and unsupervised techniques.
  • Proficiency in Python, data structures, and big data platforms like Hadoop and Spark.
  • Strong background in MLOps, including model monitoring and scalable infrastructure development.
  • Expertise in applying SRE principles to optimize cloud deployments for ML workloads.
  • Ability to lead code reviews and mentor junior machine learning engineers.
  • Experience in building and deploying end-to-end models with a focus on business impact.

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