Staff Data Scientist, Fraud & Risk Analytics

Walmart; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

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Job summary

Walmart in Sunnyvale, CA is seeking a Staff Data Scientist to leverage advanced analytics and machine learning to transform complex data into actionable business insights across fraud detection and risk domains. You will collaborate with cross-functional teams, validate models, and deploy scalable solutions that drive measurable business value while mentoring associates.

The role emphasizes data strategy, model development, deployment, and applying state-of-the-art algorithms to address business

Qualifications

• Advanced degree in a STEM field and 5+ years of relevant industry experience.
• Experience with data mining, ML, and deep learning.
• Experience with distributed computing and cloud platforms (GCP/Azure).

Responsibilities

• Perform hands-on data exploration and analysis on large datasets.
• Develop robust predictive models for fraud detection and related domains.
• Extract and analyze data from warehouses and cloud platforms; present findings to stakeholders.
• Research and implement state-of-the-art algorithms for complex business challenges.
• Partner with cross-functional teams to deploy production-ready data science solutions.

Skills

Data mining

Machine learning

Python

BigQuery

Cloud platforms

SQL

JavaScript/Java

Strong communication

Education

Master's degree or PhD preferred

Tools

TensorFlow/PyTorch

BigQuery

Job description

Walmart in Sunnyvale, CA is seeking a Staff Data Scientist to leverage advanced analytics and machine learning to transform complex data into actionable business insights across fraud detection and risk domains. You will collaborate with cross-functional teams, validate models, and deploy scalable solutions that drive measurable business value while mentoring associates.

The role emphasizes data strategy, model development, deployment, and applying state-of-the-art algorithms to address business