Data Scientist, New Grad

Role overview

SentiLink is hiring a Data Scientist (New Grad) to build and ship production machine learning models for fraud detection and financial risk. This is a full-stack data science role for new PhD graduates or early-career researchers who want real-world ML impact (not just research).

Responsibilities

• Own fraud detection and risk models end-to-end across the ML lifecycle:
  • Data acquisition decisions
  • Featurization and modeling design
  • Focusing labeling efforts and model training
  • Experimentation and iteration
  • Productionalization and deployment at scale
  • Monitoring and ongoing model maintenance
• Develop foundational modeling capabilities to support SentiLink’s fraud and financial risk product suite
• Work cross-functionally to research new fraud types, develop products, and provide analysis that supports sales and marketing
• Build and maintain production code as part of delivering models
• Serve as the technical owner for your domain with high-visibility projects

Open role tracks (examples)

• Emerging Products (0-to-1): Build new offerings brought to market
• Application Fraud: Detect fraud in consumer financial applications
• Identity: Resolve identities across conflicting data sources and generate risk models from limited information

Requirements

• New PhD graduates or early-career researchers interested in applying ML to real-world fraud detection
• Strong technical ability and critical thinking
• Interest in end-to-end ownership in a fast-moving environment

Technologies mentioned

• Python 3
• PostgreSQL
• AWS (e.g., EC2, S3, RDS, Redshift)

Remote/office preference

• Remote within the U.S. is possible
• Preference for candidates able to work from Austin, San Francisco, or New York offices; some roles/teams are hybrid or in-office by design.