SentiLink
Senior Data Scientist - Full Stack
SentiLink, San Francisco, California, United States, 94199
Senior Data Scientist – Full Stack
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. 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 have earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, and LendIt. 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.
We support a variety of ways to work, ranging from fully remote to in‑office, with physical offices in multiple U.S. and India locations.
Role
at SentiLink involves full‑stack data science, model development, analysis, and production code.
Role As a Senior Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and advance our growing suite of financial risk solutions. You are an experienced researcher, technically capable, and the definitive owner of your domain. Projects will have high visibility and impact, requiring 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.
Technologies Python 3 PostgreSQL AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
Develop and maintain fraud detection models through the full model development life‑cycle: data acquisition decisions, featurization, labeling resources, model training, experimentation, productionalization, and monitoring.
Research new types of fraud and develop new products around identity verification.
Build foundational modeling to drive fraud and financial risk products.
Iteratively develop, integrate new data sources, and engineer inventive features.
Write production‑ready code for real‑time decision making by partners.
Design, perform, and present analyses that inform data acquisition, product development, risk operations, marketing, and sales priorities.
Collaborate with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
Requirements
4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters
Proven track record of solving complex/high‑profile business problems with DS/ML solutions.
Experience communicating outcomes/progress to senior management/ stakeholders.
Strong end‑to‑end DS development skills: planning, success criteria, buy‑in, solution development, delivery (prod/deck/strategy doc).
Strong practical ML/Stats knowledge, able to employ standard tools quickly, with familiarity to SOTA ML solutions a plus.
Interest in developing deep domain expertise for product‑focused work; willingness to learn fraud domain.
Experience writing production code and tests.
Detail oriented and thoughtful, reliable for business‑changing decisions.
Bonus: familiarity with identity solutions, fintech, or adjacent industries.
Experience at a startup strongly preferred.
Thrives in a fast‑paced environment with varied, high‑impact, open‑ended problems.
Legally authorized to work in the United States and must live in the United States.
Salary Range $180,000/year – $230,000/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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Software Development
Location San Francisco, CA (hybrid/remote flex)
Referrals increase your chances of interviewing at SentiLink by 2x.
#J-18808-Ljbffr
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. 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 have earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, and LendIt. 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.
We support a variety of ways to work, ranging from fully remote to in‑office, with physical offices in multiple U.S. and India locations.
Role
at SentiLink involves full‑stack data science, model development, analysis, and production code.
Role As a Senior Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and advance our growing suite of financial risk solutions. You are an experienced researcher, technically capable, and the definitive owner of your domain. Projects will have high visibility and impact, requiring 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.
Technologies Python 3 PostgreSQL AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
Develop and maintain fraud detection models through the full model development life‑cycle: data acquisition decisions, featurization, labeling resources, model training, experimentation, productionalization, and monitoring.
Research new types of fraud and develop new products around identity verification.
Build foundational modeling to drive fraud and financial risk products.
Iteratively develop, integrate new data sources, and engineer inventive features.
Write production‑ready code for real‑time decision making by partners.
Design, perform, and present analyses that inform data acquisition, product development, risk operations, marketing, and sales priorities.
Collaborate with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
Requirements
4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters
Proven track record of solving complex/high‑profile business problems with DS/ML solutions.
Experience communicating outcomes/progress to senior management/ stakeholders.
Strong end‑to‑end DS development skills: planning, success criteria, buy‑in, solution development, delivery (prod/deck/strategy doc).
Strong practical ML/Stats knowledge, able to employ standard tools quickly, with familiarity to SOTA ML solutions a plus.
Interest in developing deep domain expertise for product‑focused work; willingness to learn fraud domain.
Experience writing production code and tests.
Detail oriented and thoughtful, reliable for business‑changing decisions.
Bonus: familiarity with identity solutions, fintech, or adjacent industries.
Experience at a startup strongly preferred.
Thrives in a fast‑paced environment with varied, high‑impact, open‑ended problems.
Legally authorized to work in the United States and must live in the United States.
Salary Range $180,000/year – $230,000/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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Software Development
Location San Francisco, CA (hybrid/remote flex)
Referrals increase your chances of interviewing at SentiLink by 2x.
#J-18808-Ljbffr