(USA) Senior, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
San Bruno, CAHoboken, NJ
Salary
$117,000–$234,000 / yr
Posted
12 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $176k
$95k most similar roles pay here $249k

This role pays more than 67% of similar roles. Most pay $126,800–$191,312 — the shaded band above. At the midpoint, this role pays about $176k versus about $159k 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 188 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 182 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Senior, Data Scientist

As a Senior Data Scientist at Walmart’s Customer Decision Science team in San Bruno, California, you will lead the development and deployment of advanced analytical models using statistical methods and machine learning to drive strategic business decisions. Your daily tasks include identifying relevant data sources, designing robust data pipelines, performing exploratory analysis, and creating impactful visualizations to communicate findings effectively. You will collaborate with cross-functional teams to translate complex business requirements into actionable insights, mentor junior associates, and ensure adherence to data governance standards. Proficiency in Python and R, along with expertise in statistical modeling, data visualization, and deploying scalable models in production environments, is essential for this role that focuses on enhancing customer outcomes through innovative data-driven solutions.

What you'll do

  • Identify and assess relevant data sources to ensure quality datasets for analysis.
  • Develop and validate advanced analytical models using statistical and machine learning techniques.
  • Design and implement scalable data pipelines and workflows for model deployment.
  • Perform exploratory data analysis and feature engineering to enhance model accuracy.
  • Create clear data visualizations to communicate complex findings to stakeholders effectively.
  • Mentor junior team members on analytical methods and best practices in data science.

What we're looking for

  • Extensive experience in data science, machine learning, and predictive modeling for complex business problems.
  • Proficiency in Python and R programming languages for development, testing, and analysis.
  • Strong knowledge of statistical methods, exploratory data analysis, and advanced analytical techniques.
  • Expertise in data visualization tools to effectively communicate insights to stakeholders.
  • Experience deploying and scaling models in production environments with attention to performance and sustainability.
  • Ability to identify, assess, and ensure the quality and governance compliance of data sources.
  • Solid understanding of business context to translate requirements into actionable data-driven solutions.

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