Data Science Manager - Application Fraud

Senti Link provides innovative identity and risk solutions, empowering institutions and individuals to transaction 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. Senti Link is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

We’ve earned recognition from Tech Crunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, Lend It, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, 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.

Senti Link 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, 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.

As a Data Science Manager for Application Fraud at Senti Link, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization.

Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do your best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code.

You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.

Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

• 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 Senti Link’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 Senti Link 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.

• 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
• 2-5 years experience directly managing a team of data scientists,…