Senior, Data Scientist

Walmart

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $108,000–$216,000 / yr
Posted: 60 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k

This role $162k

$95k most similar roles pay here $233k

This role pays more than 54% of similar roles. Most pay $126,800–$197,820 — the shaded band above. At the midpoint, this role pays about $162k versus about $162k 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 190 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 · Senior, Data Scientist

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As a Senior Data Scientist at Walmart’s Content Intelligence team in Seattle, you will work with a collaborative group of data scientists and machine learning engineers to develop advanced analytical models that enhance customer engagement through personalized experiences. Your daily tasks include identifying relevant data sources, developing and validating statistical and machine learning models, and creating insightful visualizations to drive strategic business decisions. You will also mentor junior team members and collaborate across functions to ensure model accuracy and scalability in production environments. The role requires expertise in Python, SQL, Java, and proficiency with data visualization tools, along with a deep understanding of data ecosystems and quality standards. This position focuses on leveraging cutting-edge AI and machine learning techniques to solve complex business challenges at scale for one of the world’s largest retailers.

Skills

Python SQL Java machine learning data visualization data ecosystems data quality standards scalable data storage solutions CI/CD AWS Kubernetes

What you'll do

Identify and source relevant data from multiple business domains for analysis.
Develop and deploy advanced analytical models using statistical and machine learning techniques.
Validate model performance, tuning parameters for accuracy in production environments.
Create insightful data visualizations to communicate findings and influence decisions.
Mentor junior team members on analytical methods and coding best practices.

What we're looking for

Extensive experience in data science and advanced statistical methods for model development and validation.
Proficiency in Python, SQL, and Java for coding, testing, and deploying analytical models.
Expertise in machine learning techniques including feature selection, tuning, and performance assessment.
Strong knowledge of data visualization tools and best practices to communicate complex insights effectively.
Understanding of data ecosystems, quality standards, and scalable storage solutions.
Ability to translate business requirements into strategic data-driven solutions.
Experience mentoring junior team members and collaborating cross-functionally.

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