Note: The job is a remote job and is open to candidates in USA. SentiLink is a company providing innovative identity and risk solutions, and they are seeking a Senior Applied ML Scientist to build core products that identify fraudsters and advance their suite of financial risk products. The role involves model development, analysis, and collaboration across teams to research fraud, develop products, and drive sales and marketing efforts.

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

• 4+ years relevant work experience & relevant PhD or 6+ 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