Data Scientist, New Grad

Role overview

SentiLink is hiring a Data Scientist (New Grad) to build core machine learning products for fraud detection and financial risk. This full-stack data science role is designed for new PhD graduates or early-career researchers who want to apply machine learning to real-world fraud detection in a production environment.

Responsibilities

• Develop and maintain fraud detection models across the full ML lifecycle:
  • data acquisition decisions
  • featurization
  • labeling strategy
  • model training and experimentation
  • productionalization
  • monitoring
• Take end-to-end ownership of a domain and ship production code.
• Collaborate across teams to research new fraud types, develop products, and provide analysis supporting sales and marketing.
• Work on high-visibility projects that require domain understanding, critical thinking, and strong technical execution.

Role areas (teams)

• Emerging Products (0-to-1): develop new offerings brought to market
• Application Fraud: detect fraud in consumer financial application workflows
• Identity: resolve identities across conflicting digital/physical sources and generate risk models

Requirements

• Strong interest in applying ML to production fraud detection, not only research.
• Ability to own a technical domain and deliver with high impact in a fast-moving environment.
• Technical capability to build and ship ML systems (including production code).

Preferred / nice-to-haves

• Experience or strong familiarity with the listed stack: Python 3, PostgreSQL, and AWS infrastructure.
• Ability to work in the U.S.; preference for candidates who can regularly work from Austin, San Francisco, or New York offices.