Staff Data Scientist - Full-Stack, Fraud & Risk (Remote)

SentiLink; San Francisco (CA); Hybrid; USD 200,000 - 240,000; Full time

Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Home office stipend

Regular company-wide in-person events

Job summary

A leading identity verification company in San Francisco seeks a Staff Data Scientist to build core products focused on fraud detection and financial risk. The candidate will develop and maintain models, research new fraud types, and write production-ready code. Required qualifications include a PhD or Masters in a relevant field, extensive experience in data science, and a passion for solving complex problems. This role offers a competitive salary and benefits, including health insurance and flexible paid time off.

Qualifications

• 6+ years relevant work experience & relevant PhD or 8+ years & relevant Masters.
• Proven track record of solving complex business problems.
• Strong practical ML / Stats knowledge.

Responsibilities

• Develop and maintain fraud detection models.
• Research new types of fraud and develop products.
• Write production-ready code.

Skills

Data Science

Machine Learning

Statistical Analysis

Python

Problem Solving

Education

PhD or Masters in a relevant field

Tools

PostgreSQL

AWS

Job description

A leading identity verification company in San Francisco seeks a Staff Data Scientist to build core products focused on fraud detection and financial risk. The candidate will develop and maintain models, research new fraud types, and write production-ready code. Required qualifications include a PhD or Masters in a relevant field, extensive experience in data science, and a passion for solving complex problems. This role offers a competitive salary and benefits, including health insurance and flexible paid time off.