Experimentation, data & reporting Partner with Product and Data Science to run A/B tests and experiments, validate monetization hypotheses, measure incremental revenue and user-experience impact, and use results to drive prioritization. Define success indicators with partner teams; track program health and launch/post-launch metrics; maintain dashboards and reporting that give stakeholders clear visibility and early risk signals.

As an Applied Scientist focused on experimentation, you’ll build the intelligence that determines what to test, how to measure impact, and which experiences to ship. You’ll develop an opinionated yet flexible experimentation and analytics platform that powers decision-making across every Coframe product line. Your work will help Coframe extract reliable signals from noisy behavioral data, measure long-term business impact, and continuously optimize customer outcomes with less human intervention.

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas! You will help developers, designers & product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them, and iterate on the next set of products to build for our users.