Data Scientist, New Grad

About the role

SentiLink is seeking a Data Scientist to join our dynamic team. The ideal candidate will bring a strong background in machine learning and statistics, with a passion for applying these skills to real-world fraud detection and identity verification challenges.

Responsibilities

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
• Write production-ready code that can be relied on for real-time decision making by our partners.
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.

Requirements

• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research.
• Strong foundation in machine learning, statistics, or applied data science.
• Experience with Python and common data science tools through coursework, research, internships, or personal projects.
• Demonstrated ability to analyze complex problems and build data-driven solutions.
• Strong communication skills and ability to explain technical ideas clearly.
• Interest in learning deeply about fraud, identity, and financial risk systems.
• Strong attention to detail and curiosity about real-world data problems.
• Candidates must be legally authorized to work in the United States and must live in the United States.

Qualifications

• Must be legally authorized to work in the United States and must live in the United States.

Skills

• Python 3
• PostgreSQL
• AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Benefits

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend, and more!