Head of Machine Learning

Head Of Machine Learning, Application Fraud At SentiLink

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We're building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.

We've seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you're located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

Responsibilities

• Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
• Act as a technical mentor that can dive deep and provide detailed direction.
• Lead planning, resourcing and communications with senior leadership, product and engineering teams.
• Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
• 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.
• 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.

Requirements

• 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
• 4-7 years experience directly managing a team of data scientists, ideally in a startup environment.
• 3+ years of startup experience.
• Excellent communicator and team player.
• 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.
• 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.
• Candidates must be legally authorized to work in the United States and must live in the United States.

Compensation

$210,000-$260,000/year + equity + benefits

Perks

• 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!

Corporate Values

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart