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SentiLinkSentiLinkAustin, TX

Data Scientist, New Grad

Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.

120k – 220k
RemoteEntry levelML 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 Fraud and Financial Risk products.
  • Research new fraud types and develop identity verification products.
  • Achieve success through iteration, new data sources, inventive feature engineering.
  • Write production-ready code for real-time decisions.
  • Design, perform, present analyses for data acquisition, product development, risk operations, marketing, sales.
  • Collaborate with engineering, risk operations, data acquisitions for data access and quality.

Requirements

  • Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or related quantitative field (or equivalent).
  • Strong foundation in machine learning, statistics, or applied data science.
  • Experience with Python and data science tools (coursework, research, internships, projects).
  • Ability to analyze complex problems and build data-driven solutions.
  • Strong communication skills.
  • Interest in fraud, identity, financial risk.
  • Ability to write clean, maintainable code.
  • Strong attention to detail and curiosity.
  • Thrive in fast-paced environment.

Salary Range

$120,000 - $220,000/year + equity + benefits.

Perks

  • Employer paid health insurance.
  • 401(k) with match.
  • Flexible PTO.
  • In-person events.
  • Home office stipend.

Skills

PythonMachine LearningPostgresAWSEC2S3RdsRedshiftStatisticsData Science

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