Staff Data Scientist - Full-Stack, Fraud & Risk (Remote)
SentiLink
New York (NY)
Hybrid
USD 200,000 - 240,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Employer paid health insurance
401(k) plan with employer match
Flexible paid time off
Regular company-wide events
Home office stipend
Job summary
A leading identity verification firm in New York City seeks a Staff Data Scientist. You will build core products aimed at fraud detection and financial risk modeling. The role requires 6+ years of experience in data science, strong machine learning skills, and a practical understanding of statistical analysis. You will be responsible for developing models, analyzing data sources, and writing production-ready code. This position offers a competitive salary and equity options, along with flexible work arrangements.
Qualifications
6+ years relevant work experience & PhD or 8+ years & Master's.
Proven track record of solving complex business problems.
Experience in communicating outcomes to stakeholders.
Strong in end-to-end data science development.
Interest in developing domain expertise.
Responsibilities
Develop and maintain fraud detection models.
Research new types of fraud and develop products.
Write production-ready code for real-time decisions.
Perform analyses that inform product development.
Collaborate with engineering and operations.
Skills
Data Science
Machine Learning
Critical Thinking
Statistical Analysis
Problem-Solving
Python
AWS
Education
PhD in relevant field
Master's degree in relevant field
Tools
PostgreSQL
AWS EC2
AWS S3
Job description
A leading identity verification firm in New York City seeks a Staff Data Scientist. You will build core products aimed at fraud detection and financial risk modeling. The role requires 6+ years of experience in data science, strong machine learning skills, and a practical understanding of statistical analysis. You will be responsible for developing models, analyzing data sources, and writing production-ready code. This position offers a competitive salary and equity options, along with flexible work arrangements.