Data Scientist

Remote /
Product – Data & Analytics /
About Us

At, Inc., we believe that Identity is one of the foundational pieces of web infrastructure. Identity today is broken: credential-based authentication is easily compromisable, enables fraud, data breaches, account takeovers, and allows bad actors to compromise trust and safety of online platforms and marketplaces. Our mission is to make any interaction between people and systems on the internet safe and secure.

To accomplish our mission, we build Entry- biometric identity provider that enables anyone to use their real identities online. Entry lets users securely authenticate by face on any device with a webcam and internet connection, confirm and verify their identities while being in full control of their data, privacy, and access control.

Entry helps businesses, marketplaces, and platforms to verify the identities of their users with confidence, establish trust, reduce losses from fraud, and prevent account takeovers.

We have a unique opportunity to build and shape this foundational piece of the internet infrastructure, make any interaction safe and secure for end-users and organizations and enable the next generation of online businesses to build products using the first of its kind system of record of verifiable identities.

Proudly backed by Y Combinator,, Base.Ventures, Two Bear Capital, and other exceptional angel investors.

XIX team is looking for a data scientist who would help us build the instrumentation of product metrics, analyze them, and help us make our growth data-driven. This role is less about the development or sophisticated statistics, and 100% about extracting knowledge from existing data and presenting it in insightful form.


    • Develop data pipelines for analyzing user interactions with the platform
    • Build interactive dashboards for visualizing key business metrics


    • Prior experience in building product analytics for B2B products (internal adoption, growth, usage metrics, etc.)
    • Knowledge of SQL and Python (for developing data pipelines)
    • Knowledge of Segment and Looker (or similar BI tool)
    • Excellent ability to communicate using data, Inc. is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.