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Applied Scientist, Experimentation

Coframe· Engineering
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SF Bay Area$180k - $300kFull-timePosted 6mo ago

About the role

Applied Scientist focused on experimentation to build an analytics and experimentation platform, measure impact, and optimize customer outcomes across Coframe products.

Responsibilities

  • Build experimentation frameworks that power every product line across Coframe
  • Develop statistical models for measuring incremental lift, confidence, and long-term business impact
  • Create decision engines that automatically start, stop, ramp, and optimize experiments
  • Design systems that balance exploration and exploitation throughout the experiment lifecycle
  • Build personalization and optimization algorithms that maximize conversion, engagement, revenue, and other customer outcomes
  • Develop simulation and evaluation frameworks for experimentation and online decision systems
  • Build analytics pipelines that transform large-scale behavioral data into actionable insights
  • Develop causal inference and measurement frameworks for noisy, delayed, and incomplete feedback
  • Model long-term value, proxy metrics, and delayed rewards
  • Identify opportunities for automated performance gains across customer programs
  • Analyze existing systems and translate findings into measurable product improvements
  • Build a unified optimization system that operates across multiple Coframe product lines
  • Work closely with engineering, product, and customer-facing teams to ensure statistical methods reflect real-world requirements

Qualifications

  • A strong background in statistics, causal inference, machine learning, experimentation, or a related quantitative field
  • Experience designing, building, or significantly evolving large-scale online experimentation platforms
  • Deep knowledge of experimentation design, statistical methodology, and common measurement pitfalls
  • Experience with Bayesian methods, reinforcement learning, contextual multi-armed bandits, or online decision systems
  • Experience modeling delayed outcomes, long-term value, proxy metrics, and incremental lift
  • Strong software engineering fundamentals and experience building reliable production systems
  • The ability to translate product and business problems into rigorous statistical and machine learning approaches
  • Strong product judgment and the ability to connect technical models with customer needs and mental models
  • Experience building personalization, ranking, recommendation, optimization, or allocation systems
  • The ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
  • A pragmatic approach to applied research and a focus on solving real customer problems rather than optimizing in isolation
  • A track record of staying current with developments in experimentation, causal inference, and decision science

Skills

Required:StatisticsExperimentation designOnline experimentation platformsSoftware engineering
Nice to have:Bayesian methodsReinforcement learning / bandits

Benefits

  • Flexible (Unlimited) Paid Time Off
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • 401k Plan with Coframe match
  • Meals covered in-office
  • Gym membership
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Coframe

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