Senior Data Scientist - Fraud Detection & AI Innovation

Walmart Inc.

Sunnyvale (CA)

On-site

USD 117,000 - 234,000

Full time

9 hours ago
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Benefits offered by this job

Health benefits
401(k)
Stock purchase program
PTO and leave benefits
Live Better U education

Job summary

Walmart Inc. in Sunnyvale, CA is seeking a Senior Data Scientist to lead fraud detection efforts with deep learning, ML, and data mining. You will extract data from multiple sources, build scalable models, and deliver actionable insights through clear visualizations and storytelling.

You will work in a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals at Walmart’s expansive data ecosystem, driving measurable impact and governance.

Qualifications

  • Data science and ML background with strong analytical storytelling.
  • Experience in Python and ML/data mining for large datasets.
  • Familiarity with open source ML frameworks and distributed computing.

Responsibilities

  • Design, build, and deploy predictive models for fraud and abuse.
  • Collaborate with cross-functional teams to translate business problems into data strategies.
  • Develop dashboards and visualizations for internal stakeholders.
  • Mentor teammates and ensure data governance and quality standards.

Skills

Data science
Machine learning
Big data
Python
SQL
Storytelling
Distributed computing
GC P/BigQuery

Education

Bachelor’s degree in Statistics
Master’s degree in Statistics
3+ years analytics experience

Tools

GCP/BigQuery
Spark
TensorFlow
scikit-learn
PyTorch

Job description

Walmart Inc. in Sunnyvale, CA is seeking a Senior Data Scientist to lead fraud detection efforts with deep learning, ML, and data mining. You will extract data from multiple sources, build scalable models, and deliver actionable insights through clear visualizations and storytelling.

You will work in a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals at Walmart’s expansive data ecosystem, driving measurable impact and governance.

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