Applied Scientist, PhD New Grad

SentiLink
United States
Workplace: RemoteFull timeUSD 120,000 - 220,000 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Critical thinking","Attention to detail"]

Build and ship fraud detection and financial risk models in production, owning the full ML lifecycle from data acquisition and featurization through training, experimentation, deployment, and monitoring. Research new fraud patterns and identity verification approaches across teams with high visibility and real-world impact. Write production-ready code for real-time partner decisioning, and deliver analyses that guide product development and risk operations. Uses Python, PostgreSQL, and AWS infrastructure.

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SentiLink
SentiLink
2 days ago

Applied Scientist, PhD New Grad

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Job Summary

Build and ship fraud detection and financial risk models in production, owning the full ML lifecycle from data acquisition and featurization through training, experimentation, deployment, and monitoring. Research new fraud patterns and identity verification approaches across teams with high visibility and real-world impact. Write production-ready code for real-time partner decisioning, and deliver analyses that guide product development and risk operations. Uses Python, PostgreSQL, and AWS infrastructure.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key Responsibilities

  • •Develop and maintain fraud detection models across the full model lifecycle, from data acquisition decisions and featurization through training, experimentation, productionalization, and monitoring.
  • •Build foundational modeling for Fraud and Financial Risk product expansion.
  • •Research new types of fraud and develop products around identity verification.
  • •Iterate on models by integrating new data sources and performing feature engineering.
  • •Write production-ready code for real-time partner decision-making and design, perform, and present analyses to inform risk operations and product development.

Pay and Benefits

Salary: USD 120,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid Leave

Key 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.
  • •Ability to analyze complex problems and build data-driven solutions.
  • •Strong communication skills and ability to explain technical ideas clearly.
Experience:Machine learningFraud detectionIdentity verificationFinancial riskApplied data science
Education:PhD / Doctorate in Statistics, Computer Science, Physics, Mathematics
Skills:CommunicationCritical thinkingAttention to detail
Tech Stack:Python 3PostgreSQLAWSEC2S3RDSRedshift

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SentiLink
Provides machine learning-based identity verification and fraud prevention solutions to financial services companies, helping detect synthetic identities, account takeover, and payment fraud to reduce losses and onboarding risk.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2017
WebsiteLinkedIn