Data Scientist, Full Stack

SentiLink; Los Angeles (CA); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Employer paid health insurance for you

401(k) plan with employer match

Flexible paid time off

Regular company-wide in-person events

Home office stipend

Job summary

SentiLink is hiring a Data Scientist to build core products—models that identify fraudsters and expand the financial risk suite. You will work as an experienced researcher with end-to-end ownership, collaborating across teams to research new fraud types and drive product development.

Production-ready code and strong domain knowledge are essential. The role emphasizes impact, fast-moving development, and deep domain expertise to maintain a competitive edge in identity verification and risk

Qualifications

• 2+ years relevant work experience and a PhD or 4+ years and a Master's.
• Proven track record of solving complex/high profile business problems with DS/ML solutions.
• Experience in communicating outcomes/progress to senior management/stakeholders.
• Strong end-to-end DS development: planning, metrics, buy-in, solution development, production/deck/strategy doc.
• Strong practical ML/Stats knowledge; familiarity with SOTA ML is a plus.
• Willingness to learn deep domain expertise for product-focused work.
• Experience writing production code and tests.
• Detail oriented and reliable for business-critical decisions.
• Experience working at a startup.
• Bonus for familiarity with identity solutions/fintech.
• Candidates must be legally authorized to work in the United States and reside in the U.S.
• Thrive in a fast-paced environment with varied, high-impact, open-ended problems.

Responsibilities

• Develop and maintain fraud detection models across the full model development lifecycle.
• Build modeling foundations for SentiLink’s Fraud and Financial Risk products.
• Research new types of fraud and develop related products.
• Iterate with new data sources and inventive feature engineering.
• Write production-ready code for real-time decision making by partners.
• Design, perform, and present analyses for data acquisition, product development, and risk priorities.
• Collaborate with engineering, risk operations, and data acquisitions to access data and ensure quality data.

Skills

Data Science

Machine Learning

Python

SQL

Communication

Startup experience

Education

PhD in relevant field

Master's degree in relevant field

Tools

Python 3

PostgreSQL

AWS (EC2 S3 RDS Redshift)

Job description

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. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, 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. 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, 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.

Role

As a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As an experienced researcher you will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and 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.

Technologies

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

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

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
• Experience working at a startup
• 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

Salary Range

• $180,000/year - $220,000/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