Staff Data Scientist - Full-Stack, Fraud & Risk (Remote)

SentiLink; Seattle (WA); Hybrid; USD 200,000 - 240,000; 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 in‑person events

Home office stipend

Job summary

A leading tech firm in Seattle is seeking a Staff Data Scientist to build and maintain fraud detection models. This role involves end-to-end ownership in a fast-paced environment, focusing on developing solutions for identity verification and financial risk. Candidates should have strong data science and machine learning skills, a proven track record of innovative problem-solving, and the ability to work collaboratively across teams. Excellent communication skills and a background in a tech startup are preferred.

Qualifications

• 6+ years relevant work experience & relevant PhD or 8+ years relevant Masters.
• Proven track record of solving complex business problems with DS/ML solutions.
• Experience writing production code and tests.

Responsibilities

• Develop and maintain fraud detection models.
• Build modeling for Fraud and Financial Risk products.
• Research new types of fraud and develop products.

Skills

Data Science

Machine Learning

Statistical Analysis

Python

Communication

Problem Solving

Education

PhD in a relevant field

Master's degree in a relevant field

Tools

Python 3

PostgreSQL

AWS

Job description

A leading tech firm in Seattle is seeking a Staff Data Scientist to build and maintain fraud detection models. This role involves end-to-end ownership in a fast-paced environment, focusing on developing solutions for identity verification and financial risk. Candidates should have strong data science and machine learning skills, a proven track record of innovative problem-solving, and the ability to work collaboratively across teams. Excellent communication skills and a background in a tech startup are preferred.