Senior, Data Scientist – Inventory Flow Analytics, CVP Analytics Root Cause and Optimization

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$90,000–$180,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $135k
$74k most similar roles pay here $236k

This role pays less than 79% of similar roles. Most pay $145,200–$204,743 — the shaded band above. At the midpoint, this role pays about $135k versus about $175k 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 206 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 197 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Senior, Data Scientist – Inventory Flow Analytics, CVP Analytics Root Cause and Optimization

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As a Senior Data Scientist, you will join a team dedicated to optimizing inventory flow and enhancing the customer value proposition for same-day and next-day services across Walmart’s complex multi-tier network. Your responsibilities include leading the development of advanced analytical models using best practices, designing data visualization solutions, and collaborating with cross-functional teams to translate business requirements into actionable projects. You will also mentor team members on modeling techniques and oversee model deployment and continuous improvement. The role requires expertise in AI agents, Python, SQL, and data visualization tools to influence multi-billion-dollar decisions by defining KPI standards and delivering insights that guide network design aligned with Walmart’s long-term vision.

Skills

Python SQL AI agents data visualization tools Kubernetes AWS CI/CD Git PostgreSQL MLOps Docker Terraform

What you'll do

  • Lead the development and validation of advanced analytical models using best practices.
  • Design data visualization solutions that communicate complex insights effectively to stakeholders.
  • Translate business requirements into actionable data science projects aligned with strategic goals.
  • Mentor team members on modeling techniques, feature engineering, and analysis methodologies.
  • Oversee model deployment, monitoring, and continuous improvement for performance at scale.
  • Identify and integrate reliable data sources to support accurate analytics outcomes.

What we're looking for

  • Extensive experience in data science, machine learning, and statistical modeling techniques.
  • Proficiency in Python and SQL for data analysis and model development.
  • Expertise in data visualization tools to communicate complex insights effectively.
  • Ability to translate business requirements into actionable data science solutions.
  • Demonstrated leadership in mentoring teams on technical development and methodologies.
  • Strong knowledge of model assessment, validation, and tuning methods.
  • Experience collaborating with cross-functional teams to align on metric definitions.

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