Data Scientist, New Grad

Role

As a Data Scientist at Senti Link, you will build our core products: models that identify fraudsters and advance our growing suite of financial risk solutions. This role is designed for new PhD graduates or early‑career researchers looking to apply machine learning to real‑world fraud detection. Your work will span the full machine learning lifecycle—from research and development to deployment at scale and ongoing model monitoring.

Senti Link supports a variety of work arrangements, ranging from fully remote to in‑office. We operate as a digital‑first company with strong collaboration across the U.S. and India. Our physical offices are located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you are located near one of these offices, we would love for you to spend time in the office regularly.

This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.

• Emerging Products – focused on 0‑to‑1 development of new offerings brought to market
• Application Fraud – analyzes the foundational elements of consumer financial applications to detect all forms of fraud
• Identity – resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information

Python 3, Postgre

SQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

• Develop and maintain fraud detection models throughout the full lifecycle: from data acquisition, featurization, labeling, training, experimentation, productionalization, to ongoing monitoring.
• Build foundational modeling to support Senti Link’s expanding suite of fraud and financial risk products.
• Research new types of fraud and develop new products around identity verification.
• Iterate on feature engineering, integrate new data sources, and devise inventive modeling approaches.
• Write production‑ready code for real‑time decision making by partners.
• Design, perform, and present analyses that inform data acquisition, product development, risk operations, marketing, and sales priorities.
• Collaborate with engineering, risk operations, and data acquisition teams to secure necessary data, maintain quality, and support access.

• 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 the ability to explain technical ideas clearly.
• Interest in learning deeply about fraud, identity, and financial risk systems.
• Ability to write clean, maintainable code.
• 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.
• Thrives in a fast‑paced environment characterized by solving varied, high‑impact, open‑ended problems.

$120,000/year – $220,000/year + equity + benefits

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

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart