Senior, Data Scientist (ML)

$117,000 - $234,000/Yr

Walmart - Sunnyvale, CA

Full-time - Senior

Sunnyvale, CA

10,001+ employees

General Merchandise Retailers

About the position

The Senior Data Scientist (ML) position is a critical role within the fraud detection team, focusing on leveraging machine learning and data analytics to develop predictive models and analytics solutions. The role involves working with large datasets to identify and mitigate fraud risks, collaborating with cross-functional teams, and contributing to the overall strategy of customer acquisition and experience optimization.

Responsibilities

• Design, build and implement predictive models with high-dimensional, fast moving real-time datasets.
• Own fraud/abuse risks in a product or segment of a product, acting as a strategic partner to product development teams.
• Use machine learning, deep learning, and data mining techniques to develop robust predictive models for anomaly detection.
• Build data visualizations and interactive dashboards for monitoring and sharing business insights.
• Research new methods, tools, and techniques to address complex business problems.

Requirements

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field; or a Master's degree in a related field and 1 year of experience; or 5 years' experience in an analytics or related field.
• Technical expertise in machine learning, statistical analysis, and storytelling with data.
• Proficient in machine learning and data mining packages in Python.
• Experience working with large datasets and distributed computing tools (GCP/BigQuery preferred).
• Programming skills in Java or JavaScript on a UNIX or Linux platform.

Nice-to-haves

• Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of assessments in Python, Spark, Scala, or R.
• Experience with open source frameworks like scikit-learn, TensorFlow, or PyTorch.
• Knowledge of creating inclusive digital experiences and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.

Benefits

• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• Paid time off (PTO)
• Multiple health plans including medical, vision, and dental coverage
• Short-term and long-term disability
• Company discounts
• Education assistance for associates and dependents
• Paid time off for military service
• Paid time off for bereavement, jury duty, and voting.