Staff Data Scientist, Full Stack

About the role

SentiLink is looking for a Staff Data Scientist who will own the end‑to‑end development of fraud‑detection and financial‑risk models. You will work across product teams to research new fraud types, build new identity‑verification solutions, and deliver production‑ready code that powers real‑time decisions.

Key responsibilities

• Design, develop, and maintain machine‑learning models throughout the full lifecycle—from data acquisition and feature engineering to training, experimentation, productionalization, and monitoring.
• Research emerging fraud patterns and translate findings into new product offerings and risk‑scoring models.
• Collaborate with engineering, risk operations, and data acquisition teams to ensure data quality and access.
• Produce analyses that guide product development, marketing, and sales strategies.

Required profile

• 6+ years of relevant experience (or PhD) delivering high‑impact data‑science solutions.
• Proven ability to communicate results and strategy to senior leadership.
• Strong end‑to‑end DS expertise, from problem definition to production deployment.
• Experience thriving in fast‑paced, startup‑like environments.

Required skills

• Python (3.x)
• PostgreSQL
• AWS services (EC2, S3, RDS, Redshift)
• Machine‑learning and statistical modeling
• Production‑grade coding and testing

What we offer

• Employer‑paid health insurance for you and dependents.
• 401(k) plan with company match.
• Flexible paid time off and remote‑work flexibility.
• Home‑office stipend and regular company‑wide in‑person events.