(USA) Senior, Data Scientist

Walmart

Quick summary

Work type: On-site
Location: San Bruno, CA · Hoboken, NJ
Salary: $117,000–$234,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k

This role $176k

$93k most similar roles pay here $249k

This role pays more than 73% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $176k versus about $156k 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 499 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 493 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Senior, Data Scientist

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As a Senior Data Scientist at Walmart’s Customer Decision Science team in Hoboken, New Jersey, you will lead the development and deployment of advanced data-driven solutions to support strategic business objectives. Your day-to-day responsibilities include identifying relevant data sources, developing predictive models using machine learning techniques, designing scalable data pipelines, performing exploratory data analysis, creating impactful visualizations, collaborating with cross-functional teams, and mentoring junior associates. You will need extensive experience in Python and R programming, statistical methods, and data visualization tools to ensure adherence to data governance standards and deliver actionable insights that drive business outcomes. This role requires a deep understanding of the retail industry’s challenges and opportunities, enabling you to translate complex data into practical solutions for Walmart’s operational excellence initiatives.

Skills

Python R Kubernetes Terraform AWS Docker CI/CD PostgreSQL MySQL MongoDB Git Jupyter Tableau PowerBI Scikit-learn TensorFlow PyTorch Hadoop Spark Snowflake

What you'll do

Identify and assess relevant data sources to ensure quality datasets.
Develop and validate advanced analytical models using statistical techniques.
Design data pipelines for scalable model deployment in production environments.
Perform exploratory data analysis and feature engineering to enhance insights.
Create impactful data visualizations to communicate findings effectively.
Mentor junior associates on analytical methods and best practices.

What we're looking for

Extensive experience in data science and predictive modeling to solve complex business problems.
Proficiency in Python and R for developing, testing, and analyzing data.
Expertise in statistical methods, exploratory data analysis, and advanced analytical techniques.
Strong knowledge of data visualization tools and best practices for communicating insights.
Experience deploying and scaling models in production environments with attention to performance.
Ability to mentor junior team members on analytical methods and best practices.
Solid understanding of business context to translate requirements into actionable solutions.

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