Senior Data Scientist, Product Growth (24 months fixed-term)

5+ years of experience in data science or analytics. Proficient with statistical techniques (e.g., multiple regression, causal inference, AB testing, hypothesis testing). Advanced SQL foundations. Ability to manipulate data using R or Python. Compelling data storytelling and visualization (e.g., Looker). Ability to communicate effectively with non-technical stakeholders. Strong business intuition & judgment.

Partner with product teams to understand and develop theories of action for new features. Identify and measure initiative success through goal setting, forecasting, and analysis. Perform exploratory analyses on datasets to extract insights about teacher & learner behavior. Use statistical techniques to quantify the impact of features, programs, and interventions. Share analysis results with non-technical audiences. Contribute to the development of self-service analytics tools.