(USA) Staff, Data Scientist

Walmart

Actively hiring
Sunnyvale, CA · Bentonville, AR Posted 18 days ago $143,000$286,000 / year

At a glance

AI generated

TL;DR

As a Staff Data Scientist on the Omni Price Recommendation Engine team at Walmart Global Tech, you will lead the development and deployment of high-frequency pricing systems that balance competitive positioning with long-term margin health. Your day-to-day responsibilities include designing prescriptive ML models for pricing decisions, performing elasticity analysis across large datasets, and owning the end-to-end lifecycle of price recommendation systems from scoping to performance optimization. You will leverage advanced techniques such as causal inference, reinforcement learning, deep learning, and uncertainty quantification to build explainable pricing systems that provide clear narratives on model reasoning. The role requires expertise in Python, PyTorch or TensorFlow, and hands-on experience with production-grade optimization models delivering measurable financial outcomes. Additionally, you should have a strong understanding of pricing dynamics and the ability to collaborate effectively with cross-functional teams while mentoring junior data scientists.

Skills

Python PyTorch TensorFlow Causal Inference Reinforcement Learning Elasticity Modeling Bayesian Approaches Conformal Prediction Graph Neural Networks Multi-Armed Bandits Deep Reinforcement Learning Explainable AI MLOps CI/CD

What you'll do

  • Design and deploy prescriptive ML models for high-impact pricing needs.
  • Perform elasticity analysis across large datasets to inform data-driven decisions.
  • Own the end-to-end lifecycle of price recommendation systems, from scoping to optimization.
  • Develop advanced pricing solutions using causal inference, reinforcement learning, and deep learning.
  • Build explainable pricing systems with model interpretability and stakeholder narratives.

What we're looking for

  • 8+ years of experience in Data Science or Applied ML with a focus on pricing and causal modeling.
  • Proven track record of delivering production-grade optimization models that yield significant financial benefits.
  • Expertise in deep learning frameworks like PyTorch or TensorFlow for decision-focused AI applications.
  • Strong knowledge of pricing dynamics including seasonality, competitor indexing, and promotional impact.
  • Experience with Explainable AI (XAI) to communicate complex model reasoning effectively to non-technical stakeholders.
  • Hands-on experience with causal inference, reinforcement learning, and elasticity modeling techniques.
  • Excellent coding skills in Python and understanding of software engineering practices such as testing and CI/CD.

Market check

Salary context

This $143,000–$286,000 range sits above 92% of similar postings on FindRole.

Peer median band

$99,000$216,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,800$183,401

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 495 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 487 roles with salary data.

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View all roles at Walmart

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