(USA) Senior, Data Scientist

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $90,000–$180,000 / yr
Posted: 54 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $158k

This role $135k

$74k most similar roles pay here $236k

This role pays less than 64% of similar roles. Most pay $126,800–$189,187 — the shaded band above. At the midpoint, this role pays about $135k 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 Senior Data Scientist at Walmart’s Decision Management Team, you will work on high-impact problems involving fraud detection and risk management for the e-commerce Marketplace platform. Your day-to-day responsibilities include developing risk mitigation models using machine learning techniques, analyzing large datasets to identify emerging risks, and integrating agentic AI frameworks to support real-time risk detection systems. You will collaborate closely with product, engineering, and operations teams to ensure seamless integration of data science solutions into business workflows while maintaining model performance through continuous monitoring and optimization. The ideal candidate has a strong background in machine learning, statistical modeling, and experience with Python, SQL, and libraries like scikit-learn and TensorFlow. Familiarity with big data technologies such as Apache Spark and cloud-based platforms is preferred, along with expertise in advanced machine learning techniques for fraud detection and risk mitigation.

Skills

Python scikit-learn XGBoost TensorFlow PyTorch SQL Agentic AI Apache Spark Hadoop AWS Tableau Power BI matplotlib seaborn A/B testing ROC/AUC precision/recall F1 scores LLMs

What you'll do

Develop risk mitigation models using machine learning and statistical techniques.
Analyze large datasets to uncover emerging fraud tactics and business risks.
Lead deep-dive analytics to inform risk policies and operational strategies.
Integrate agentic AI frameworks for real-time, adaptive risk detection systems.
Design and execute experiments to evaluate model impact and improve decisions.
Monitor model performance using quantitative metrics and feedback loops continuously.

What we're looking for

Strong understanding of machine learning and statistical modeling for risk and fraud detection.
Experience developing and deploying real-time systems for identifying anomalous behavior and detecting fraud.
Proficiency in Python, SQL, and data science libraries like scikit-learn, TensorFlow, or PyTorch.
Familiarity with agentic AI systems and their application to dynamic decision environments.
Ability to conduct rigorous experimentation and model validation using statistical methods.
Strong problem-solving skills and the ability to translate business problems into analytical frameworks.
Excellent communication skills for explaining technical concepts to diverse audiences.

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