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SentiLinkSentiLinkAustin, TX

Staff Data Scientist, Full Stack

Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.

200k – 240k/yr
Remote6+ 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 sources, and inventive feature engineering.
  • Write production-ready code for real-time decisions.
  • Design, perform, and present analyses for data acquisition, product development, risk operations, marketing, and sales.
  • Collaborate with engineering, risk operations, and data teams for data access and quality.

Requirements

  • 6+ years relevant experience & PhD or 8+ years & Masters.
  • Proven track record solving complex business problems with DS/ML.
  • Experience communicating to senior stakeholders.
  • Strong end-to-end DS development: planning, metrics, buy-in, delivery.
  • Strong practical ML/Stats knowledge; SOTA ML a plus.
  • Interest in deep domain expertise (fraud/financial risk).
  • Experience writing production code and tests.
  • Detail-oriented for business-changing decisions.
  • Bonus: identity solutions, fintech experience, startup experience.
  • Thrive in fast-paced, varied, high-impact environment.

Compensation

$200,000 - $240,000/year + equity + benefits (health insurance, 401k match, PTO, etc.).

Skills

PythonPostgresAWSEC2S3RdsRedshiftMachine LearningFraud DetectionFeature Engineering

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