Senior Manager, Data Science

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$110,000–$220,000 / yr
Posted
5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $165k
$96k most similar roles pay here $239k

This role pays less than 51% of similar roles. Most pay $145,625–$214,500 — the shaded band above. At the midpoint, this role pays about $165k versus about $180k 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.

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At a glance

TL;DR · Senior Manager, Data Science

As Senior Manager, Data Science at Walmart US's Supply Chain Strategy & Analytics team, you will lead the development of advanced analytical models to drive strategic business decisions. Your day-to-day responsibilities include designing and implementing data visualization solutions, translating business requirements into actionable projects, mentoring team members on modeling techniques, and collaborating cross-functionally to ensure data quality and model deployment. You will leverage Python, SQL, and tools like Matplotlib and Tableau to deliver insights that enhance operational efficiency in a dynamic retail environment. This role demands expertise in statistical methods, machine learning, and deploying scalable models while fostering innovation and continuous improvement within the supply chain domain.

What you'll do

  • Lead the development, assessment, and validation of advanced analytical models to ensure accuracy and scalability.
  • Design data visualization solutions that communicate complex insights effectively to business stakeholders.
  • Translate business requirements into actionable data science projects aligned with strategic objectives.
  • Mentor team members on modeling techniques, feature engineering, and data analysis methodologies.
  • Collaborate cross-functionally to identify data sources and support model deployment and monitoring.

What we're looking for

  • Extensive experience in data science, machine learning, and advanced statistical methods.
  • Proficiency in Python, SQL, and data visualization tools like Matplotlib, Plotly, Tableau.
  • Expertise in model assessment techniques including ROC curve analysis and error metrics.
  • Ability to translate business requirements into actionable data-driven solutions.
  • Strong leadership skills for mentoring teams and guiding technical development.
  • Knowledge of deploying scalable models and monitoring performance in production environments.

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