Fraud Strategy Data Scientist - Rules & Modeling (Hybrid)

ESR Healthcare; San Jose (CA); Hybrid; USD 80,000 - 100,000; Full time

Job summary

A leading healthcare technology firm is seeking an Associate Fraud Strategy Data Scientist in San Jose, CA. This hybrid role involves developing fraud detection rules, creating models and scripts, and investigating large fraud cases. Ideal candidates will have a Bachelor's degree in a related field and 2 years of experience in risk analytics or data science. Proficiency in SQL, Python, and data visualization tools like Tableau is required. Join us to enhance our fraud risk strategies in a dynamic environment.

Qualifications

• Maximum 2 years of experience in risk analytics, data analysis, and data science.
• Experience using statistics and data science to solve complex business problems.
• Strong communication skills and ability to present findings.

Responsibilities

• Design fraud rules to detect and mitigate fraud.
• Develop Python scripts and models that support fraud strategies.
• Investigate novel and large fraud cases.
• Work with product and engineering to improve control capabilities.

Skills

Risk analytics

Data analysis

Data science

Proficiency in SQL

Proficiency in Python

Data visualization

Communication

Education

Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, or related field

Tools

Tableau

AWS

Job description

A leading healthcare technology firm is seeking an Associate Fraud Strategy Data Scientist in San Jose, CA. This hybrid role involves developing fraud detection rules, creating models and scripts, and investigating large fraud cases. Ideal candidates will have a Bachelor's degree in a related field and 2 years of experience in risk analytics or data science. Proficiency in SQL, Python, and data visualization tools like Tableau is required. Join us to enhance our fraud risk strategies in a dynamic environment.