SentiLink - Staff Applied ML Scientist
Requirements
• 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 • 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. • Candidates must be legally authorized to work in the United States and must live in the United States
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
Benefits
• $200,000/year - $240,000/year + equity + 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 • Corporate Values: • Corporate Values: • Deep Understanding • Whatever It Takes • Do Something Smart
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