Staff Data Scientist

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $143,000–$286,000 / yr
Employment: Full-time
Posted: 38 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k

This role $214k

$103k $306k

below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $157,095–$214,500 — the blue band above. At the midpoint, this role pays about $214k versus about $186k 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 713 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 610 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Staff Data Scientist

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As a (USA) Staff, Data Scientist, you will join the global fraud data science team to develop real-time and batch decisioning services. You will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights within a dynamic retail environment. Your daily responsibilities include identifying data sources, designing and tuning predictive models, and creating impactful visualizations to communicate findings to stakeholders. You will collaborate across functions to deploy and monitor models in production environments while mentoring team members on coding best practices. The role requires proficiency in Python, SQL, and potentially Java or JavaScript. You must demonstrate expertise in deep learning, predictive analytics, and MLOps to solve multifaceted fraud and risk challenges while ensuring data quality and governance standards.

What does a Data Scientist earn in California?

Median $214500 from 132 postings across 33 companies.

See salary data

Skills

Python SQL Machine Learning Deep Learning MLOps Spark TensorFlow scikit learn R Scala Java JavaScript Predictive Analytics Data Visualization Data Governance Statistics Optimization Models

What you'll do

Identify and assess relevant data sources to ensure quality and fit-for-purpose data extraction.
Develop and implement data strategies aligned with business objectives and governance standards.
Design, validate, and tune predictive models using advanced statistical and machine learning techniques.
Create clear and impactful data visualizations to communicate insights to stakeholders.
Translate complex business problems into data-driven solutions and actionable recommendations.
Deploy and monitor models in production environments with cross-functional teams.
Mentor team members on analytical methods, coding best practices, and data storytelling.

What we're looking for

Option 1: Bachelor's degree in a quantitative field and 4 years of experience in an analytics related field.
Option 2: Master's degree in a quantitative field and 2 years of experience in an analytics related field.
Option 3: 6 years of experience in an analytics or related field.
Proven expertise in data science, including predictive analytics, machine learning, deep learning, and AI applications.
Proficiency in Python and SQL for data analysis, model development, and automation.
Strong knowledge of data strategy, including data quality, governance, storage, and scalability.
Experience in deploying and scaling models in production environments with continuous monitoring.
Experience in Java or JavaScript is a plus (preferred).

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