This is a Founding Applied Data Scientist role. You will define how Outtake understands, measures, and improves the performance of our product, business, and AI systems, building the data foundation that turns messy product usage, customer outcomes, model behavior, and business operations into clear decisions and durable systems.
Our product operates in a noisy, adversarial, fast-moving threat landscape. You will make legible what is working, where our agents are succeeding or failing, how customers are experiencing value, and how the business should price, package, and prioritize its work. The role begins as an individual contributor position; the desire to eventually hire, mentor, and scale a high-performing data function will be valuable as the function grows.
This is not a narrow reporting or dashboarding role. You will shape the semantic layer, define canonical metrics, build the analytical infrastructure, influence product and pricing decisions, and set the long-term bar for how Outtake uses data as the company scales — operating comfortably at the intersection of analytics engineering, applied data science, product strategy, and AI systems evaluation.