Note: The job is a remote job and is open to candidates in USA. SentiLink provides identity verification and risk solutions that help institutions and individuals transact with confidence. The Data Scientist, Full Stack will own end-to-end development of fraud detection and financial risk models, research new fraud types, build products, write production code, and deliver analyses that support product, operations, marketing, and sales decisions.
Responsibilities
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products
- Research new types of fraud and develop new SentiLink products around identity verification
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering
- Write production-ready code that can be relied on for real-time decision making by our partners
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access
Skills
- 2+ years relevant work experience & relevant PhD or 4+ 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: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)
- Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is
- Experience writing production code and tests
- Detail oriented and thoughtful - someone we can rely on to make business-changing decisions
- Experience working at a startup
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries
Benefits
- Equity
- Employer-paid group health insurance for you and your dependents
- 401(k) plan with employer match
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend
- Fully remote work option
Company Overview