Research Scientist, PhD New Grad

Ovii's Interpretation of the Role

SentiLink is hiring a Research Scientist to design, build, and ship machine‑learning models that detect fraud and financial risk. The position is remote‑first within the United States and is aimed at new PhD graduates or early‑career researchers who want end‑to‑end ownership of data‑science products.

Role Snapshot

• Full‑stack data science
• ML model lifecycle ownership
• Fraud‑detection focus
• Remote (US) with office preference
• End‑to‑end product impact

Must-Have Requirements

• Python
• PostgreSQL
• AWS (EC2, S3, RDS, Redshift)
• Machine Learning
• Statistics
• Data science tooling (e.g., pandas, scikit‑learn)
• Clean, maintainable code
• Strong communication
• machine learning
• statistics
• data science
• fraud detection
• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or related quantitative field
• must be legally authorized to work in the United States
• must live in the United States

Nice-to-Have Signals

• Interest in fraud, identity, and financial risk systems

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Employment type: Full-Time

Eligibility Gates

• Work authorization: must be legally authorized to work in the United States
• Visa sponsorship: no

Not Specified in JD

• Security clearance
• Travel requirement

What You'll Likely Work On

• Develop, train, and productionalize fraud‑detection models across the full ML lifecycle.
• Engineer feature pipelines and integrate new data sources to improve identity‑verification risk scores.
• Research emerging fraud patterns and prototype new product concepts.
• Write production‑ready Python code that powers real‑time decision APIs.
• Design and present analyses that guide product, risk, marketing, and sales strategies.
• Collaborate with engineering, risk‑operations, and data‑acquisition teams to ensure data quality and access.

Good Fit If You Have

• Strong curiosity about fraud, identity, and financial‑risk systems.
• Thrives in fast‑paced, high‑impact problem solving.
• Excellent written and verbal communication for cross‑functional audiences.