Product and Marketing Data Science

Data Wrangling

Statistics & Probability for hypothesis testing and user behavior analysis.

Machine Learning & Predictive Modeling

Funnel analysis

Cohort analysis

Experiment design

Metrics like retention, engagement, activation, and churn.

Attribution modeling

Customer segmentation & targeting.

Campaign optimization

Personalization & recommendation systems.

Understanding customer journeys and product lifecycles.

Familiarity with growth models (e.g., product-led growth).

Ability to translate technical insights into business strategy and storytelling.