Senior Manager, Data Science

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $132,621–$220,000 / yr
Posted: 2 days ago
Closes: Jul 7, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k

This role $176k

$122k most similar roles pay here $236k

This role pays less than 51% of similar roles. Most pay $154,837–$221,957 — the shaded band above. At the midpoint, this role pays about $176k versus about $188k 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 290 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 282 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Senior Manager, Data Science

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As a Senior Manager of Data Science, you will lead a team in formulating technological solutions to complex business problems by identifying root causes and recommending effective approaches. Your daily tasks include setting deliverables, quantifying business impact, and translating requirements into actionable projects. You will work with Python, PySpark, Azure Databricks, and MLflow to develop scalable machine learning models, while also implementing CI/CD pipelines using Jenkins and Git for version control. Additionally, you will deploy models to production, continuously monitor their performance, and ensure data quality through rigorous testing and validation processes. This role requires expertise in designing APIs with FastAPI, developing web applications with Plotly Dash, and utilizing Google Cloud Storage and BigQuery for large-scale data extraction and preprocessing. Your work will significantly impact the company’s strategic initiatives by providing actionable insights and driving innovation across various domains.

Skills

Python Pytest unittest Fastapi Pyspark Azure Databricks Google Cloud Storage Google BigQuery Jenkins Git MLflow Plotly Dash Google Pub/Sub Redis CI/CD

What you'll do

Define and recommend approaches to resolve complex business problems using technology-focused solutions.
Develop machine learning models, including feature selection and iterative model enhancements.
Deploy and monitor machine learning models in production environments for continuous improvement.
Write and test code for data pipelines and APIs using Python and frameworks like FastAPI.
Extract and preprocess large datasets from cloud storage systems for machine learning applications.
Implement CI/CD pipelines and manage versioning of ML models using tools like Jenkins and MLflow.

What we're looking for

Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field plus 3 years of analytics experience
Design and implement scalable machine learning models with data pipelines and versioning
Code in Python for unit testing, API design, and web application development
Develop and deploy machine learning models using PySpark and Azure Databricks
Extract and preprocess large datasets from Google Cloud Storage and BigQuery
Implement CI/CD pipelines and use Git for source control management
Track data science experiments and manage model versions with MLflow

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