MagicSchool is looking for a data scientist to accelerate user growth by uncovering insights that help activate, engage, and retain their rapidly growing educator community. This role will involve building models to predict user behavior, designing experiments to test growth hypotheses, and creating measurement infrastructure to guide growth investments.
Requirements
- Strong SQL skills and proficiency in Python
- Understanding of statistical testing and experimental design
- SQL for data analysis and pipeline development
- Python for statistical analysis and modeling
- BI tools (Looker, Tableau, Metabase)
- Product analytics platforms (Amplitude, Mixpanel)
- Cloud data warehouses (BigQuery, Snowflake)
Responsibilities
- Analyze user funnels to identify drop-off points and optimization opportunities
- Build cohort analyses (or similar)
- Understand retention patterns and user lifecycle
- Create predictive models for user activation, conversion, and churn
- Design dashboards that track growth metrics and experiments
- Partner with product and marketing teams to design A/B tests
- Build regression-based product attribution models that connect user behaviors and characteristics to retention, health scores, and product engagement outcomes
Other
- 5+ years in data science or analytics roles
- Growth team experience at a product-led company
- Experience with growth, product, or marketing analytics
- Experience with subscription or SaaS business models
- Track record of driving business impact through analysis
