Fraud Risk Data Scientist (Associate)

Note: This is a hybrid position, so candidates must be based in the San Jose area.

JOB DESCRIPTION:

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.

MUST HAVE:

• 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
• Bachelor s/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
• Experience using statistics and data science (machine learning & AI) to solve complex business problems
• Proficiency in SQL, Python, AWS, Excel including key data science libraries
• Proficiency in data visualization including Tableau
• Experience working with large datasets
• Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Hiring Manager Notes:

• Strong SQL proficiency
• Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
• Proficiency in AWS Quicksight and Tableau
• This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced.
• Strictly contract to cover multiple leaves over a 1 yr. period.
• Potential to extend based on business need and performance.
• Day shift: M-F Pacific time