Applied Scientist

Job description

We’re looking for Applied Scientists to turn raw data across Coframe-managed surfaces into decisions, measurable lift and insights. This role sits at the intersection of reinforcement learning, experimentation and ranking/personalization. Your strategies and models will generate lift (though revenue for customers) without any humans in the loop. You’re a great fit if you have: built production machine learning systems end to end strong statistics fundamentals and practical judgment with real-world data experience with ranking, optimization, personalization, bandits, or recommendation systems great communication skills to explain complex technical problems and solutions to the rest of the team and to understand the real need and pain of the business we serve. worked in growth or conversion teams before What you'll do: convert product problems into ML problems build systems that optimize conversion, engagement, and revenue using various strategies build simulation and evaluation frameworks for such systems develop experimentation, causal inference, and measurement frameworks build models for personalization, ranking, targeting, and allocation detect opportunities for automated gains...