Staff Data Scientist, Full Stack

The role

You will build core fraud detection and financial risk models. This full-stack role involves model development, analysis, and writing production code.

What you will do

• Develop and maintain fraud detection models through the full development lifespan
• Build foundational modeling to drive Fraud and Financial Risk products
• Research new types of fraud and develop new identity verification products
• Research and develop through iteration and inventive feature engineering
• Write production-ready code for real-time decision making
• Design, perform, and present analyses to inform various business efforts
• Work with engineering, risk operations, and data acquisitions to access and maintain data

Required qualifications

• 6+ years relevant work experience & relevant PhD or 8+ years & relevant Masters
• Proven track record of solving complex / high profile business problems with DS / ML solutions
• Experience in communicating outcomes / progress to senior management / stakeholders
• Very strong in end to end DS development
• Strong practical ML / Stats knowledge
• Experience writing production code and tests
• Detail oriented and thoughtful
• Candidates must be legally authorized to work in the United States and must live in the United States

Nice to have

• Experience with SOTA ML solutions
• Familiarity with identity solutions, fintech, or adjacent industries
• Experience working at a startup strongly preferred

Benefits

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend

About the company

SentiLink helps institutions and protects customers by accurately resolving identities and flagging fraud risk. They serve 13 of the top 15 U.S. banks and are a digital-first company.