Senior Data Scientist - Payments (Inference)

Added
14 days ago
Type
Full time
Salary
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Related skills

r sql python machine learning ml

πŸ“‹ Description

  • Inference: Develop and apply causal inference methods to measure platform/product impacts.
  • AI/ML: Build robust evaluation methods for ML/AI models; classify, segment, and interpret user
  • Optimization: Create methodologies to simulate interventions and optimize product/operational
  • Communication: Deliver robust research reports and visualize data; present findings to drive impact.
  • Empowerment: Identify opportunities to scale brand measurement and customer insights.
  • A Typical Day: Work on measurement frameworks, ML/model evaluation, and cross-functional

🎯 Requirements

  • 5+ years in quantitative analysis with Master’s in quantitative field OR 3+ years with PhD.
  • Strong knowledge of causal inference, experimentation, econometrics, and end-to-end ML development.
  • Statistical programming (Python or R) and SQL database usage.
  • Proven ability to own end-to-end problems and communicate with non-technical stakeholders.
  • Experience with fraud/risk domain is a strong plus; familiarity with agentic/LLM-based systems is a
  • Location flexibility for US remote; US-based remote eligible.

🎁 Benefits

  • Pay range: $179,000 – $210,000 USD
  • Bonus, equity, benefits, and Employee Travel Credits may apply
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