Staff Data Scientist

Walmart

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Bellevue, WA
Salary: $132,000–$264,000 / yr
Posted: 99 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $198k

$115k most similar roles pay here $280k

This role pays more than 64% of similar roles. Most pay $136,187–$219,987 — the shaded band above. At the midpoint, this role pays about $198k versus about $178k 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 184 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 180 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist

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Staff, Data Scientist works within the Marketplace team to develop and scale data science solutions for the marketing intelligence domain. The role involves collaborating with machine learning engineers to build, implement, and test scalable solutions while consulting with business stakeholders on algorithm-based recommendations. This individual will act as a thought leader, mentor junior team members, and manage the continuous improvement of machine learning initiatives by following industry best practices. Key technical requirements include proficiency in Python and at least one other language like Java or Scala, along with expertise in SQL, Hive, and Spark within a big data ecosystem. The candidate must have experience with agentic, Gen AI, supervised, and unsupervised algorithms to solve real-world problems in the ecommerce domain using deep learning and classic machine learning models.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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Skills

Machine Learning Python Spark SQL Hive Scala R Deep Learning Gen AI scikit learn TensorFlow Statistics Big Data Optimization Models Econometrics

What you'll do

Develop and scale data science solutions to achieve business outcomes for the Marketplace domain.
Build, implement, and test scalable machine learning models for marketing intelligence.
Consult with stakeholders to translate algorithm-based recommendations into actionable business strategies.
Mentor junior team members in developing and implementing machine learning solutions.
Manage the continuous improvement of data science initiatives using industry best practices.
Conduct and report results of original research in machine learning and statistics.
Execute multiple complex projects simultaneously while maintaining high standards for technical execution.

What we're looking for

A PhD with over 6 years of experience or a Master’s degree with over 8 years of experience is required.
Candidates must have a Bachelor's degree and 4 years of experience, or 6 years of relevant experience without a specific degree.
Education should preferably be in Computer Science or a related field like Statistics, Mathematics, or Information Technology.
Must possess strong Python coding skills and proficiency in at least one other language such as Java or Scala.
Experience must include working with state-of-the-art agentic, Gen AI, supervised, and unsupervised machine learning algorithms.
Candidates must be experts in SQL/Hive and able to work within a big data ecosystem using Spark.
Must have extensive experience building and deploying classic ML and Deep learning models on real-world problems.
Ability to mentor junior team members and manage stakeholder relationships is required.

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