Applied Scientist, Experimentation

The role

You will build experimentation frameworks and statistical models to power Coframe product lines. You will develop decision engines, personalization algorithms, and analytics pipelines to measure impact and optimize customer outcomes.

What you will do

• 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

Required qualifications

• 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
• 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
• Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
• Pragmatic approach to applied research and a focus on solving real customer problems
• Track record of staying current with developments in experimentation, causal inference, and decision science

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

About the company

Coframe is building a future where user and agent interfaces can adapt, evolve, and personalize themselves. The company is primarily in-person based in San Francisco and is backed by Khosla Ventures, Nat Friedman, and the founder of Android.