Data Scientist

One example of work will be defining how we measure LLM search visibility and product success at GrowthX. The role blends analytics, experimentation, dataset/taxonomy design, sampling strategies, and applied modeling. You’ll design the right metrics and evals, build workflows for continuous measurement, run experiments, and perform deep dives that directly shape how our product evolves to improve brand visibility in LLM search and their content strategy. Analyze LLM search data at scale — build and maintain datasets, categories, labels, and sampling approaches that support consistent measurement. Define the core metrics we should track and help with workflow evals to measure our agentic workflows to maintain our product quality. Conduct deep dives into product usage to identify opportunities and guide product strategy. Programmatically evaluate prompts, categories, and taxonomies used in our AI visibility to ensure accuracy and coverage as we scale. Design, implement, and interpret A/B tests to improve product features and the marketing effectiveness we deliver for clients. Track brand visibility and LLM patterns in AI search and translate them into actionable tactics and product improvements for our client’s marketing strategies. Build on our the AI visibility research that drives our product strategy for helping brands improve their presence in LLM search. Build and maintain predictive models that power both product functionality and analytics insights. Transform raw data into clear narratives that change how clients operate and inform product direction. Collaborate closely with Engineering, Product, Growth, and Design across high-velocity, ambiguous product work.