Research Scientist, PhD New Grad

SentiLink

Research Scientist building and deploying machine-learning models for SentiLink’s identity verification and fraud-risk products. Researching fraud patterns, engineering features, and delivering production code and analyses.

Posted 8/8/2026full-timeRemote • 🇺🇸 United StatesEntry Level💰 $120,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing and maintaining fraud detection models, with a strong foundation in machine learning and statistics. Proficient in Python and data science tools, capable of delivering data-driven solutions and collaborating effectively across teams.

Highest-signal resume keywords

Machine LearningPython ProgrammingData AnalysisFraud DetectionStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisData ScienceModel DevelopmentFeature EngineeringData AcquisitionProduction-Ready CodeReal-Time Decision-MakingData Quality MaintenanceIdentity Verification

Soft Skills

Strong CommunicationAttention to DetailCuriosityProblem-SolvingCollaboration

Industry Keywords

FraudFinancial RiskData-Driven SolutionsQuantitative FieldFast-Paced Environment

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and maintain fraud detection models across the full model development lifespan, from data acquisition and featurization through labeling, training, experimentation, productionalization, and monitoring
Build foundational models for Fraud and Financial Risk products
Research new types of fraud and develop identity-verification products
Iterate on models and integrate new data sources and inventive feature engineering
Write production-ready code for real-time partner decision-making
Design, perform, and present analyses informing data acquisition, product development, risk operations, marketing, and sales
Collaborate with engineering, risk operations, and data acquisition teams to access data, maintain data quality, and support data access

Requirements

What you’ll need

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
Ability to write clean, maintainable code
Strong attention to detail and curiosity about real-world data problems
Legally authorized to work in the United States
Must live in the United States
Ability to thrive in a fast-paced environment solving varied, high-impact, open-ended problems

Benefits

Comp & perks

Employer paid group health insurance for you and your dependents
401(k) plan with employer match
Flexible paid time off
Regular company-wide in-person events
Home office stipend
Equity