SentiLink
San Francisco
51-200 employees
SentiLink, the leader in identity verification technology, provides financial institutions and fintechs with best-in-class solutions to prevent fraud.
Prior Listings
Director of Data Science
Director of Data Science
This job is no longer open
SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better.
We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. In 2021, we raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with the eCBSV and testified before the United States House of Representatives.
As the Director of Data Science at SentiLink, you will be responsible for machine learning model development and maintenance. You will lead a team of experienced data scientists in improving these products. You will work with risk operations, engineering, analytics, and product teams across the company to ensure full end-to-end quality of the models. Success will additionally be judged by growth of team capabilities. Hiring strong talent, successfully onboarding and training data scientists, and setting a high performance standard are core parts of the role.
Remote: the team is remote-primarily within the US, but for this role we have a preference for someone who would be able to travel on a monthly basis.
Responsibilities:
- Scoring product quality. End-to-end model development: feature engineering, versioning and online-offline consistency, model development and deployment, productionalization, interpretable ML, calibration, monitoring, etc.
- Model/score release lifecycle management
- Driving product roadmap execution, including close work with the engineering and product orgs
- Uphold a high level of technical excellence within the team
- Hire, train, and manage a high-performing team
- Working with data engineering around data access
- Partnering with finance and other teams around sourcing and evaluating new datasets
- Model governance (Model risk management, fair ML) and external communication
- Being available as necessary for on-call duty
Requirements:
- 6+ years of experience working in machine learning or model-focused data science development
- Graduate degree in technical field or additional experience
- 4+ years of production code development
- 3+ years of experience managing a high-performing team of 4+ people
- Outcome-focused: has excelled at production model development in the past
- Experience in at least one of fintech, payments, fraud, financial services, or identity verification
- Strong communication skills: both internally within the company and with external stakeholders
- Willingness to develop deep domain expertise
- Experience with Python, AWS, SQL
Perks:
- Remote work with home office stipend, and regular company-wide in-person events
- Lunch, coffee and snacks during the work day are fully reimbursable
- Employer paid group health insurance for you and your dependents
- . . . and other typical start-up benefits (e.g. 401(k) plan with employer match, flexible paid time off, etc.)
Corporate Values:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Salary Range:
- $210,000/year - $290,000/year
This job is no longer open