Staff Data Scientist

Walmart

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$143,000–$286,000 / yr
Employment
Full-time
Posted
79 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $214k
$103k $306k
below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $160,102–$214,500 — the blue band above. At the midpoint, this role pays about $214k versus about $187k 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 719 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 592 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Staff Data Scientist

As a (USA) Staff, Data Scientist, you will join the Fraud and Risk Detection Data Science team to transform complex data into actionable business insights. You will perform hands-on data exploration, processing, and analysis on large-scale datasets to develop robust predictive models for eCommerce fraud detection, financial services fraud detection, anomaly detection, and abusive returns. Your daily work involves extracting data from warehouses, performing feature engineering, back-testing models, and implementing state-of-the-art algorithms. You will utilize Python, Java, or JavaScript alongside open-source frameworks like scikit-learn, TensorFlow, and Torch. Technical requirements include proficiency with BigQuery, Hive, Spark, and SQL within Google Cloud Platform or Microsoft Azure environments. You will solve critical business challenges by deploying scalable, production-ready solutions across online and offline commerce platforms.

What does a Data Scientist earn in California?

Median $214500 from 134 postings across 32 companies.

See salary data

What you'll do

  • Perform hands-on data exploration, processing, and analysis on large-scale datasets.
  • Develop robust predictive models for eCommerce fraud, financial services fraud, and anomaly detection.
  • Extract and analyze data from data warehouses and cloud platforms using SQL and distributed computing.
  • Perform feature engineering, back-test models, and evaluate model performance metrics.
  • Research and implement state-of-the-art algorithms to address complex business challenges.
  • Deploy scalable, production-ready data science solutions in partnership with cross-functional teams.
  • Present data findings and actionable recommendations to technical and non-technical stakeholders.

What we're looking for

  • Bachelor's degree in a related field and 4 years of analytics experience, a Master's degree and 2 years of experience, or 6 years of experience.
  • Strong expertise in data mining, machine learning, statistical analysis, and deep learning.
  • Proficiency in Python and experience with open-source machine learning and data science frameworks.
  • Experience working with large datasets using distributed computing platforms such as BigQuery, Hive, or Spark.
  • Experience working in cloud environments, including Google Cloud Platform (GCP) or Microsoft Azure.
  • Strong database and querying skills, including BigQuery, Hive, and SQL.
  • Programming experience in Python, Java, or JavaScript.
  • Advanced degree in a STEM field (Master's or PhD preferred).

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