Onsite Staff Data Scientist, Pricing & AI Optimization

Walmart Global Tech; Bentonville (AR); On-site; USD 110,000 - 286,000; Full time

Benefits offered by this job

401(k) match

Stock purchase plan

Paid parental leave

Health plans

Job summary

Walmart Global Tech is seeking a Staff Data Scientist to design and deploy prescriptive ML models for pricing and markdown decisions. You will own the end-to-end Price Recommendation lifecycle, perform elasticity analysis, and work with cross-functional teams to deliver enterprise-scale AI solutions.

The role emphasizes causal inference, deep learning, and explainable AI, with strong emphasis on production-grade systems engineering, testing, and collaboration with product and pricing teams.

Qualifications

• 8+ years in Data Science / Applied ML (or PhD + 5 years) with pricing/causal modeling focus.
• Production-grade optimization models with measurable financial impact.

Responsibilities

• Design and deploy prescriptive ML models for pricing and markdown needs.
• Own the end-to-end Price Recommendation lifecycle including experimentation.

Skills

Data science

Pricing elasticity

Causal modeling

Production ML

Python

Explainable AI

CI/CD/MLOps

PyTorch/TF

Education

Bachelor's in Statistics/Economics/Analytics/CS

Master's in Statistics/Economics/Analytics/CS

6+ years analytics experience

Tools

Spark

Feature Stores

Distributed training (Cloud)

GCP/Azure

Job description

Walmart Global Tech is seeking a Staff Data Scientist to design and deploy prescriptive ML models for pricing and markdown decisions. You will own the end-to-end Price Recommendation lifecycle, perform elasticity analysis, and work with cross-functional teams to deliver enterprise-scale AI solutions.

The role emphasizes causal inference, deep learning, and explainable AI, with strong emphasis on production-grade systems engineering, testing, and collaboration with product and pricing teams.