Data Science Manager

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.
• 2-5 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.

Nice-to-haves

• Bonus for familiarity with: identity solutions, fintech, or adjacent industries.

Compensation

• $210,000-$260,000/year + equity + benefits
• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend, and more!