Data Scientist, Fraud & Risk — Real-Time & Remote

SentiLink; Seattle (WA); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide events

Home office stipend

Job summary

SentiLink is seeking a Data Scientist to build core products: models identifying fraudsters and expanding our financial risk solutions. You will be technically capable and own your domain, often collaborating across teams on high-visibility projects to drive impact.

You will work end-to-end on model development, analysis, and production code, embracing a fast-moving environment where domain knowledge fuels development and competitive advantage.

Qualifications

• 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.
• End-to-end DS development: planning, metrics, buy-in, solution delivery (prod/deck).
• Experience writing production code and tests.

Responsibilities

• Develop and maintain fraud detection models through the full model development lifespan.
• Build foundational modeling for Fraud and Financial Risk products.
• Research new types of fraud and develop new products around identity verification.
• Engineer and deploy data-driven features and models for real-time decisions.
• Write production-ready code for real-time decision making by partners.
• Design analyses to inform data acquisition, product development, risk operations, marketing, and sales.

Skills

DS/ML experience

End-to-end DS development

Communication to stakeholders

Startup experience

Fraud domain interest

Education

PhD or Masters

Tools

Python

PostgreSQL

AWS

Job description

SentiLink is seeking a Data Scientist to build core products: models identifying fraudsters and expanding our financial risk solutions. You will be technically capable and own your domain, often collaborating across teams on high-visibility projects to drive impact.

You will work end-to-end on model development, analysis, and production code, embracing a fast-moving environment where domain knowledge fuels development and competitive advantage.