North AmericaFull TimeSoftware Development
Remotely
Listed on 2 job boards, which is a stronger signal than one board alone.
pythonmachine learningsqlrdataeconometricsml
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Job Description
📋 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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