(USA) Senior, Data Scientist

Walmart

Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WABentonville, AR
Salary
$108,000–$216,000 / yr
Posted
10 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $162k
$95k most similar roles pay here $229k

This role pays more than 54% of similar roles. Most pay $126,800–$191,312 — the shaded band above. At the midpoint, this role pays about $162k versus about $159k 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) Senior, Data Scientist

As a Data Scientist at Marketplace Tech, you will join a dynamic team focused on enhancing the two-sided platform that connects customers with third-party sellers. Your role involves developing advanced statistical models and machine learning algorithms to drive business initiatives, ensuring seller success and customer satisfaction. You’ll collaborate closely with product, engineering, and business teams to define key performance metrics, run experiments, and deliver actionable insights through predictive analytics. Key responsibilities include gathering and validating data, identifying trends in large datasets, and communicating recommendations that influence future plans. The ideal candidate has extensive experience in machine learning, computer vision, NLP, and big data platforms like Hadoop and Spark, along with strong Python skills and hands-on experience with Git and SQL databases. Experience in the ecommerce domain is a plus.

What you'll do

  • Develop advanced statistical models and machine learning algorithms to drive marketplace initiatives.
  • Gather and validate data for large analytics datasets supporting project goals.
  • Identify trends and patterns in big data to inform business decisions and strategies.
  • Train and replicate statistical models and machine learning algorithms for future projects.
  • Communicate insights and recommendations to business partners to influence strategic planning.

What we're looking for

  • Strong background in machine learning, statistics, and data science with over 5 years of relevant experience.
  • Proficiency in Python, SQL, and big data platforms like Hadoop, Spark, and relational databases.
  • Experience in computer vision, natural language processing, and deep learning techniques.
  • Ability to gather, validate, and synthesize large datasets for complex business initiatives.
  • Excellent communication skills to convey data-driven insights and recommendations to stakeholders.

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