(USA) Staff, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
San Bruno, CA
Salary
$143,000–$286,000 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $214k
$87k most similar roles pay here $307k

This role pays more than 85% of similar roles. Most pay $126,800–$195,481 — the shaded band above. At the midpoint, this role pays about $214k versus about $161k 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.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Staff, Data Scientist

Walmart is seeking a Staff Data Scientist to join its advanced analytics team, focusing on solving complex business challenges through predictive modeling and data-driven insights. This role involves identifying relevant data from various sources, conducting quality assessments, and developing robust predictive models using machine learning techniques. The successful candidate will design effective visualizations for stakeholder communication and collaborate with cross-functional teams to deploy scalable solutions while mentoring junior analysts. Essential skills include proficiency in Python, expertise in exploratory data analysis, statistical modeling, and data visualization tools like Matplotlib and Tableau. This position supports Walmart’s commitment to operational excellence through strategic data initiatives that enhance business performance and customer experiences.

What you'll do

  • Identify and source relevant data from multiple business domains for analytics initiatives.
  • Conduct data quality assessments to ensure accurate analysis and modeling.
  • Develop predictive models using advanced statistical and machine learning techniques.
  • Design data visualizations to effectively communicate insights to stakeholders.
  • Translate complex business problems into actionable data-driven solutions.

What we're looking for

  • Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical techniques.
  • Proficiency in Python programming and data visualization tools like Matplotlib, Plotly, or Tableau.
  • Strong skills in exploratory data analysis and statistical modeling for complex datasets.
  • Experience with data strategy including quality assessment, governance, and scalable storage solutions.
  • Ability to evaluate, validate, and tune predictive models using appropriate metrics and best practices.
  • Knowledge of business domains to translate requirements into actionable data insights and solutions.

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