Staff Data Scientist — Full-Stack Fraud & Identity (Remote)

Dataroles; Northern (KY); Hybrid; USD 220,000 - 260,000; Full time

Benefits offered by this job

Employer paid health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide in-person events

Home office stipend

Job summary

SentiLink is hiring a Staff Data Scientist to build core fraud and financial risk models across our product suite. You will own end-to-end model development, from data acquisition through production deployment, working with cross-functional teams and delivering high-impact analyses.

The role requires 6+ years in DS/ML or 8+ years with a relevant Masters and a proven track record solving complex problems; experience communicating to executives and writing production code is essential.

Qualifications

• 6+ years of DS/ML experience or 8+ years with a relevant Master's.
• Proven ability to solve complex business problems with DS/ML solutions.
• Excellent communication of outcomes to senior management.
• Experience delivering production-ready DS solutions and tests.

Responsibilities

• Develop and maintain fraud and financial risk models across the product suite.
• Own end-to-end model development lifecycle from data intake to production deployment.
• Research new fraud types and expand product offerings around identity verification.
• Write production-ready code and create robust analyses for decision-making.

Skills

End-to-end DS development

ML model development

Executive communication

Production code

Education

PhD in a related field

Master's in a related field

Tools

Python

PostgreSQL

AWS

Job description

SentiLink is hiring a Staff Data Scientist to build core fraud and financial risk models across our product suite. You will own end-to-end model development, from data acquisition through production deployment, working with cross-functional teams and delivering high-impact analyses.

The role requires 6+ years in DS/ML or 8+ years with a relevant Masters and a proven track record solving complex problems; experience communicating to executives and writing production code is essential.