Senior Data Scientist - Customer Experience
Tasks
- Build and modify data pipelines
- Build predictive models for churn and upsell forecasting
- Conduct exploratory data analysis
- Create and update dashboards
- Create data stories for retention and upsell
- Define and maintain KPIs
- Develop AI LLM solutions for customer success
- Diagnose metric shifts
- Evaluate business impact with causal inference
- Identify leading indicators of churn and opportunity
- Monitor renewals and retention risk
- Optimize data workflows and data quality
- Perform root cause analysis
- Provide data-driven insights to stakeholders
- Run A B testing experiments
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Causal Inference | DBT | Dashboards | Data Analysis | Data Pipelines | Data Science | Data Visualization | Exploratory Data Analysis | Forecasting | Key Performance Indicators | Machine Learning | Performance indicators | Predictive Modeling | Python | Regression | SQL | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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