Principal Data Scientist

Walmart

Quick summary

Work type: On-site
Location: Sunnyvale, CAHoboken, NJ
Salary: $143,000–$286,000 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k

This role $214k

$97k most similar roles pay here $306k

This role pays more than 85% of similar roles. Most pay $135,225–$200,596 — the shaded band above. At the midpoint, this role pays about $214k versus about $168k 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 311 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 303 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Principal Data Scientist

Role Posting Log in to save

Join Walmart Marketplace’s data science team as a senior leader responsible for driving the development and deployment of machine learning products across multiple sub-domains. You will consult with business stakeholders to translate complex problems into actionable ML solutions, guide teams in best practices, and ensure efficient resource utilization. Daily tasks include leading cross-functional initiatives, evaluating project proposals, and quantifying business impact through key metrics. The role demands expertise in Python, PySpark, Google Cloud Platform, Vertex AI, Kubeflow, and big data platforms like Hadoop. Ideal candidates have a deep background in machine learning techniques such as classification models, NLP, forecasting, and Gen-AI, with experience in scaling ML solutions to meet Walmart’s high-volume e-commerce demands.

Skills

Python PySpark Google Cloud Platform Vertex AI Kubeflow Hadoop Hive MapReduce Scala GCP Azure Gen-AI LLM Vector databases Prompt engineering Causal inference Graph ML NLP Forecasting Classification models Regression models Unsupervised models Optimization GPU/CUDA

What you'll do

Consult with stakeholders to develop algorithm-based recommendations into actionable business strategies.
Guide data science teams in delivering ML products on time and efficiently across multiple sub-domains.
Drive efficiency by implementing best practices, resource utilization, and reusability in ML projects.
Lead complex ML product development and ensure synergy through sharing of best practices and innovation.
Proactively identify opportunities for advanced ML solutions to solve business problems and drive impact measurement.

What we're looking for

10+ years of experience as a data science technical lead.
Deep expertise in building and deploying machine learning models across various domains.
Strong leadership skills to influence and inspire cross-functional teams.
Extensive knowledge in Python, PySpark, Google Cloud Platform, Vertex AI, and Kubeflow.
Experience with big data platforms like Hadoop (Hive, MapReduce, HQL, Scala).
Proficiency in machine learning techniques including NLP, causal inference, and Gen-AI.

Remote

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Principal Data Scientist

Microsoft

Redmond, WA 100 days ago

Python SQL R TensorFlow PyTorch Scikit-learn Kubernetes AWS Azure Google Cloud Platform CI/CD Docker Git Jupyter Notebook PostgreSQL MongoDB Apache Spark Hadoop Machine Learning Deep Learning Statistics Data Visualization NLP Time Series Analysis

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