(USA)Staff, Data Scientist
Walmart
At a glance
AI generatedAs 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
What you'll do
What we're looking for
Market check
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
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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