Research Scientist (Fraud)

Pindrop
United States
Workplace: RemoteFull timeUSD 160,000 - 185,000Function: Data Science & Machine LearningEducation: phdSkills: ["Scientific rigor","Reproducibility","Clear communication","Cross-functional collaboration"]

Work on applied machine learning to detect, score, and investigate fraud and scams across voice and IVR interactions. Build fraud risk models and a scam detection stack, analyze patterns across customer environments, and translate findings into measurable improvements in model performance and investigation workflows. Partner with engineering to move research into production, support high-priority investigations, and maintain reproducible research workflows and evaluation pipelines.

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FursaFursa
Pindrop
Pindrop
2 months ago

Research Scientist (Fraud)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Work on applied machine learning to detect, score, and investigate fraud and scams across voice and IVR interactions. Build fraud risk models and a scam detection stack, analyze patterns across customer environments, and translate findings into measurable improvements in model performance and investigation workflows. Partner with engineering to move research into production, support high-priority investigations, and maintain reproducible research workflows and evaluation pipelines.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and improve fraud risk models and scoring systems using audio, behavioral, and metadata-based signals.
  • •Analyze fraud patterns across customer environments and translate findings into measurable model, workflow, or mitigation improvements.
  • •Research and build a scam detection stack from conception to realization.
  • •Partner with engineering and cross-functional teams to move successful research into production and improve fraud outcomes in live environments.
  • •Support high-priority fraud investigations by analyzing system behavior, attack patterns, and detection gaps; recommend practical next steps.

Pay and Benefits

Salary: USD 160,000 - 185,000
Perks:RsusRemote WorkPaid LeaveHealth InsuranceHsaDentalVisionPaid ParentalLearning BudgetPhone Allowance

Key Requirements

  • •Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, Engineering, AI, or a related quantitative field, or equivalent applied research experience.
  • •3+ years of professional experience in machine learning and fraud detection, NLP/risk modeling, speech/signal processing, or anomaly detection.
  • •Strong Python skills and experience building research tooling, experimentation frameworks, and model evaluation workflows.
  • •Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or Keras.
  • •Track record translating research into practical improvements for models, decision systems, or production-facing recommendations.
Experience:Fraud detectionMachine learningRisk modelingNatural language processingSpeech processing
Education:PhD / Doctorate
Skills:Scientific rigorReproducibilityClear communicationCross-functional collaboration
Languages:English
Tech Stack:PythonPyTorchTensorFlowKerasLLMsRetrieval systemsObservability

Company Brief

Pindrop
Provides voice security and fraud prevention solutions that analyze phone calls and voice interactions to detect fraud, authenticate callers, and protect contact centers using voice biometrics, machine learning, and risk-scoring telemetry.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: Atlanta, United States
Founded: 2011
WebsiteLinkedIn