Drimva

Coframe

Applied Scientist, Experimentation

$180K–$300K

SF Bay Area · On-site · Full-time · Posted Apr 20, 2026

About the job

Build experimentation, measurement, and optimization systems that use behavioral data to guide product decisions and improve customer outcomes.

What you'll do

  • Build experimentation frameworks and statistical models to measure lift, confidence, and long-term impact.
  • Create automated decision engines and systems for experiment optimization, personalization, and allocation.
  • Develop causal measurement, simulation, evaluation, and analytics systems for noisy or delayed feedback.

What they ask for

  • 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 measurement pitfalls.
  • Strong software engineering fundamentals and experience building reliable production systems.

Nice to have

  • Experience with Bayesian methods, reinforcement learning, contextual multi-armed bandits, or online decision systems.
  • Experience building personalization, ranking, recommendation, optimization, or allocation systems.

Pay

$180K – $300K USD base salary

AI focus

Build automated experimentation and online decision systems, including personalization and optimization algorithms that improve customer outcomes.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)