onsite
Data Scientist - Product Analytics - Leap Tools
Data Scientist
Lead product analytics initiatives by building data pipelines, statistical models, and dashboards using Python, Django, and PostgreSQL to drive insights for marketing, sales, and operations teams.
About the role
Key Responsibilities
- Design and implement end‑to‑end data pipelines and ETL processes to collect, clean, and store product usage data.
- Develop statistical and machine‑learning models to uncover user behavior patterns, churn predictors, and revenue drivers.
- Create interactive dashboards and visualizations for marketing, sales, and ops stakeholders, enabling data‑driven decision making.
- Collaborate with engineering and product teams to integrate analytics features into the Django‑based platform.
- Perform A/B testing, experiment analysis, and reporting to evaluate product changes and marketing campaigns.
Requirements
- 5+ years of experience in data science or analytics, preferably in a product‑focused environment.
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, statsmodels).
- Hands‑on experience with Django web framework and PostgreSQL/SQL for data extraction and modeling.
- Solid foundation in statistics, hypothesis testing, and machine‑learning techniques.
- Excellent communication skills to translate complex analytical findings into actionable business recommendations.
Skills
pythondjangopostgresqlmachine learningsql