Data Scientist II, Full Stack
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• 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 • Bonus for familiarity with: identity solutions, fintech, or adjacent industries • 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
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
• Equity options mentioned as part of compensation: "We've even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity." This implies that equity is offered, but it should be confirmed directly from the job posting. • Perks are mentioned as part of compensation: "We’ve earned recognition... and we've even made history." This implies that perks may be offered, but it should be confirmed directly from the job posting. • Remote work options clearly stated in multiple places within the job posting: • - Supports a variety of ways to work, ranging from fully remote to in-office. • - Maintains physical offices with locations mentioned throughout the U.S., as well as India. • - Invites candidates located near one or more office locations for regular time spent there and mentions hybrid/in-office roles by design (e.g., engineering team in Gurugram).