Principal, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
Bentonville, ARSunnyvale, CAHerndon, VA
Salary
$110,000–$220,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $165k
$97k most similar roles pay here $233k

This role pays more than 55% of similar roles. Most pay $126,800–$200,050 — the shaded band above. At the midpoint, this role pays about $165k versus about $163k 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 196 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 189 roles with salary data.

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View all roles at Walmart

At a glance

TL;DR · Principal, Data Scientist

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As a Principal/Staff Data Scientist at Walmart's Finance Retail & Audit Analytics (FRAA) team, you will lead the technical vision and direction for AI-powered platforms that enhance risk identification, supplier experience, and data-driven decision-making. Your daily responsibilities include designing and deploying scalable machine learning models using Python, TensorFlow, PyTorch, and other frameworks to solve complex business challenges. You’ll collaborate with cross-functional teams to build intelligent anomaly detection systems, predictive analytics pipelines, and end-to-end ML workflows while leveraging cloud-native technologies like Kubernetes and CI/CD practices. With a focus on enterprise-scale data engineering and governance, you will drive innovation in areas such as NLP, semantic search, and generative AI, ensuring Walmart’s global ecosystem benefits from cutting-edge AI solutions.

Skills

Python TensorFlow PyTorch XGBoost Scikit-Learn Kubernetes Docker CI/CD MLOps Airflow BigQuery Spark DBT NLP LLMs RAG Isolation Forest Random Forest SQL Azure Google Cloud Platform (GCP) AWS

What you'll do

  • Lead AI/ML strategy for FRAA platforms focusing on anomaly detection and predictive analytics.
  • Design and deploy scalable machine learning models addressing complex business challenges.
  • Build end-to-end ML pipelines including feature engineering, model training, deployment, and monitoring.
  • Develop intelligent anomaly detection frameworks using advanced techniques like Isolation Forest and unsupervised learning.
  • Collaborate with stakeholders to translate audit and compliance issues into measurable AI solutions.

What we're looking for

  • Advanced experience in designing and deploying machine learning solutions at enterprise scale.
  • Expertise in Python and modern ML frameworks like Scikit-Learn, TensorFlow, PyTorch, XGBoost.
  • Deep knowledge in developing models including random forests, isolation forests, classification, regression, clustering, anomaly detection, and forecasting.
  • Proven track record of operationalizing AI/ML solutions from experimentation to production deployment.
  • Strong data engineering skills with experience in SQL, ETL design, and distributed data processing frameworks like Spark and BigQuery.
  • Experience with cloud-native architectures, microservices, REST APIs, containerized applications, and Kubernetes-based solutions.

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