Data Scientist
Tasks
- Analyze user behavior and funnel performance
- Build LTV models
- Build predictive models for conversion churn revenue and engagement
- Create reusable machine learning pipelines
- Create user segmentation and retention models
- Define KPIs and success frameworks for new launches
- Deploy models for product recommendation lead scoring and SEM planning
- Design scalable data pipelines for machine learning workflows
- Monitor and explain product metric changes
- Optimize marketing efficiency and value attribution
- Present insights to stakeholders and executives
- Translate business needs into data problems
Perks/Benefits
Skills/Tech-stack
Airflow | BigQuery | Classification | Cloud platform | Cohort Analysis | Composer | Google Ads | Google Analytics | Google Analytics 4 | Google Cloud | Google Cloud Platform | LTV modelling | Looker | Machine Learning | Machine Learning Pipelines | Media attribution | NumPy | Pandas | Python | Real Time | Real-time Inference | Regression | Retention Curves | SQL | Scikit-learn | Series analysis | Tableau | Time Series | Time Series Analysis | Vertex AI
Education
Roles
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