Senior Manager, Data Science

Walmart

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Quick summary

Work type: On-site
Location: Bentonville, AR
Employment: Full-time
Posted: 25 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $183k

$104k $243k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $152,342–$214,500.

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 719 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 592 roles with salary data.

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At a glance

TL;DR · Senior Manager, Data Science

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The (USA) Senior Manager, Data Science joins a team dedicated to optimizing inventory flow across multiple fulfillment centers. In this leadership role, you will oversee advanced analytical modeling, model assessment, and data visualization initiatives to convert complex data into actionable insights. Your daily responsibilities include developing and deploying scalable machine learning solutions, performing exploratory data analysis, and mentoring associates on feature engineering and data storytelling best practices. You will utilize Python, SQL, and AI tools such as Code Puppy and Wibey to ensure model accuracy and robustness in production environments. By translating business requirements into technical solutions, you will solve operational efficiency challenges within a dynamic retail environment, ensuring that all data science initiatives align with organizational goals and industry standards.

What does a Data Science Manager earn?

Median $211200 from 40 postings across 10 companies.

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Skills

Python SQL Machine Learning scikit learn TensorFlow Spark Scala R Data Visualization Feature Engineering statistical modeling Code Puppy Wibey Model Validation Exploratory Data Analysis Optimization Models

What you'll do

Lead model assessment and validation efforts using advanced statistical and machine learning techniques.
Develop and implement data visualization strategies to communicate complex insights to stakeholders.
Translate business requirements into scalable data science solutions and production-ready models.
Guide and mentor associates on modeling, feature engineering, and data storytelling best practices.
Oversee the deployment and continuous monitoring of predictive models in production environments.
Drive exploratory data analysis and experimental design to identify actionable business insights.

What we're looking for

Obtain a Bachelor's degree in a related field with 5 years of analytics experience, a Master's with 3 years, or 7 years of experience.
Possess extensive experience in data science, machine learning, and advanced statistical modeling techniques.
Demonstrate proficiency in Python, SQL, and AI tools such as Code Puppy and Wibey.
Exhibit strong knowledge of model assessment, validation, tuning methods, feature engineering, and production deployment.
Show demonstrated leadership in mentoring teams and guiding technical development to drive business impact.
Possess excellent communication skills to translate complex requirements into actionable insights and influence stakeholders.
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Successful completion of assessments in Python, Spark, Scala, or R; supervisory experience; and knowledge of open source frameworks (preferred).

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