As Lead Data Scientist at Miro, I work in the Forward Deployed Analytics unit, leading strategic analytics projects that cut across the business. I contribute to product development and monetization decisions by:
- Leading cross-functional strategic projects, including Miro’s new enterprise licensing models, from identifying opportunities, developing new frameworks, finding consensus among leadership (CFO to validate numbers, CRO to validate solution fit and relevance, CCO for large-account needs) and releasing an experimental framework to validate those hypotheses
- Running about 40 experiments and raising the team’s experimentation standards, and acting as a go-to resource for analytics best practices and data literacy across teams
- Mentoring, tutoring and developing junior analysts, including coaching 4 analysts to become self-sufficient in experimentation (A/B testing, statistical rigor and causal inference)
- Combining quantitative and qualitative methods to understand product usage, performance and user profiles, and turning the findings into clear recommendations for product, monetization and growth
My toolkit includes Cursor, dbt, Looker, SQL, R, Python, Databricks and Bash. I use them to extract, model, analyze and visualize data, and to turn it into clear narratives that drive decisions.