Defining and managing experiments from inception to shipment, creating the requisite metrics, ML pipelines, algorithms. Owning problems end-to-end and being willing to pick up whatever knowledge you're missing to get the job done. Defining rigorous evaluation methodologies, offline benchmarks, online experimentation frameworks and data-driven approaches for measuring model and product performance. Influencing senior leadership and partner teams through quality written and oral summaries of work in progress and experimentation results. Building tools to accelerate your own (and your teammates') workflows, but only when off-the-shelf solutions won't do. Contributing to strategic planning and long-term technical roadmaps, incorporating latest research to meet business goals. Contributing to the growth and development of the team's engineers and applied scientists. Supporting and developing a thriving applied science culture within CASQ to encourage experimentation, scientific process, and innovation. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) Proficiency in agentic engineering. Ability to thrive in dynamic environments, especially where priorities may shift and project definitions evolve.