Data Scientist, New Grad

SentiLink
United States
Workplace: RemoteFull timeUSD 120,000 - 220,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Attention to detail","Collaboration"]

Data Scientist role focused on building and deploying fraud-detection and financial risk models, applying ML to real-world identity verification. You’ll own end-to-end ML projects from research to production, collaborate across teams, and contribute to multiple fraud/risk product lines while working in a fast-paced, remote-friendly environment in the United States.

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SentiLink
SentiLink
4 months ago

Data Scientist, New Grad

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Data Scientist role focused on building and deploying fraud-detection and financial risk models, applying ML to real-world identity verification. You’ll own end-to-end ML projects from research to production, collaborate across teams, and contribute to multiple fraud/risk product lines while working in a fast-paced, remote-friendly environment in the United States.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key 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.

Pay and Benefits

Salary: USD 120,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kRemote WorkHome Office

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
  • •Demonstrated ability to analyze complex problems and build data-driven solutions
  • •Strong communication skills and ability to explain technical ideas clearly
Experience:FintechFinancial servicesIdentity verification
Education:Bachelor's
Skills:CommunicationProblem-solvingAttention to detailCollaboration
Tech Stack:PythonPostgreSQLAWSEC2S3RDSRedshift

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