(USA) Senior, Data Scientist

Walmart

Hybrid

Quick summary

Work type: Hybrid
Location: Bellevue, WA · Bentonville, AR
Salary: $108,000–$216,000 / yr
Posted: 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $158k

This role $162k

$95k most similar roles pay here $233k

This role pays more than 54% of similar roles. Most pay $126,800–$189,187 — the shaded band above. At the midpoint, this role pays about $162k versus about $158k 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 529 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 523 roles with salary data.

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View all roles at Walmart

At a glance

TL;DR · (USA) Senior, Data Scientist

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As a Data Scientist at Marketplace Tech, you will join a dynamic team to enhance the two-sided platform connecting customers with third-party sellers. Your role involves developing advanced statistical models and machine learning algorithms to drive business initiatives, ensuring data validity, and synthesizing large datasets for project goals. You’ll build predictive and causal solutions, communicate insights to stakeholders, and influence future plans based on your findings. The ideal candidate has a strong background in machine learning, statistics, and experience with big data platforms like Hadoop and Spark, as well as proficiency in Python, SQL, and Git. Experience in computer vision, NLP, and gen AI is preferred, along with a relevant degree and at least 5 years of industry experience. This role focuses on improving seller success, customer experience, trust & safety, and overall marketplace growth within the fast-evolving ecommerce domain.

Skills

Python Hadoop Spark SQL Git Machine_Learning Deep_Learning Computer_Vision NLP Big_Data_Analytics Data_Structures Relational_Databases Hive Pig Map_Reduce Scala Kaggle R Julia

What you'll do

Develop advanced statistical models and machine learning algorithms to drive business initiatives.
Gather and validate data for large analytics datasets supporting project goals.
Train and replicate statistical models and machine learning algorithms for future use.
Communicate insights and recommendations to business partners to influence strategic decisions.
Identify trends, patterns, and outliers in big data to support complex problem-solving.

What we're looking for

Strong background in machine learning and statistics with over 5 years of relevant experience.
Proficiency in Python, data structures, and big data platforms like Hadoop and Spark.
Experience in computer vision, natural language processing, and generative AI.
Ability to build predictive models and communicate insights to business partners effectively.
Hands-on experience with Git, SQL, and relational databases for data management.

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