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SentiLinkSentiLinkAustin, TX

Senior Applied ML Scientist

Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.

200k – 240k/yr
Remote4+ YOEML Engineering

About the role

Responsibilities

  • Develop and maintain fraud detection models through full lifecycle: data acquisition, featurization, labeling, training, experimentation, productionalization, monitoring.
  • Build foundational modeling for expanding Fraud and Financial Risk products.
  • Research new fraud types and develop identity verification products.
  • Achieve success through iteration, new data integration, inventive feature engineering.
  • Write production-ready code for real-time decisions.
  • Design, perform, present analyses for data acquisition, product development, risk ops, marketing, sales.
  • Collaborate with engineering, risk ops, data teams for data access and quality.

Requirements

  • 4+ years relevant experience & PhD or 6+ years & Masters.
  • Proven track record solving complex business problems with DS/ML.
  • Experience communicating to senior stakeholders.
  • Strong end-to-end DS: planning, metrics, buy-in, delivery.
  • Practical ML/Stats knowledge; SOTA ML a plus.
  • Interest in fraud/financial domain expertise.
  • Production code and tests experience.
  • Detail-oriented for business decisions.
  • Bonus: identity/fintech background, startup experience.

Salary Range: $200,000 - $240,000/year + equity + benefits.

Skills

PythonPostgresAWSEC2S3RdsRedshiftMachine LearningFraud DetectionFeature Engineering

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