(USA) Data Scientist III

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $90,000–$180,000 / yr
Posted: 17 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $157k

This role $135k

$74k most similar roles pay here $236k

This role pays less than 65% of similar roles. Most pay $126,800–$187,531 — the shaded band above. At the midpoint, this role pays about $135k versus about $157k 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.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Data Scientist III

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Join our Data Science team as a Senior Data Analyst, where you will work with massive datasets from Walmart Inc.'s extensive online and offline commerce operations. Your role involves transforming complex data into actionable insights to support data-driven decision-making across digital and physical channels. You will collaborate closely with cross-functional teams to deliver strategic recommendations on fraud trends through effective data storytelling and visualization. Daily tasks include analyzing high-dimensional real-time datasets, building and maintaining dashboards for key business metrics, ensuring data quality, and applying new analytical methods to solve complex business problems. The ideal candidate has expertise in data analysis, statistical methods, and data visualization, proficiency in SQL and Python or R, experience with large datasets and distributed computing tools like BigQuery or Spark, and strong communication skills to present findings to diverse audiences.

Skills

Python R SQL BigQuery Hive Spark Tableau Power BI Looker CI/CD AWS Kubernetes Docker PostgreSQL Git Jupyter Notebook

What you'll do

Analyze high-dimensional real-time datasets to identify fraud trends and patterns.
Deliver insights through data storytelling and visualization for strategic decision-making.
Build and maintain dashboards to monitor key business metrics and share insights.
Ensure data quality and integrity through rigorous validation and documentation.
Research and apply new analytical methods to solve complex business problems.

What we're looking for

Extensive experience in data analysis and statistical methods
Proficiency in SQL, Python or R for data analysis
Expertise in working with large datasets using distributed computing tools
Strong knowledge of data modeling and engineering best practices
Ability to build and maintain dashboards and reports for stakeholders
Experience delivering insights through effective data storytelling and visualization

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