[Remote] Staff Applied ML Scientist
Note: The job is a remote job and is open to candidates in USA. SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. As a Staff Applied ML Scientist, you will build core products to identify fraudsters and advance financial risk products, requiring deep domain understanding and strong technical abilities.
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
- 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: 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
- Candidates must be legally authorized to work in the United States and must live in the United States
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries
- Experience working at a startup strongly preferred
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
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, and more!
Company Overview