Data Scientist, Revenue Analytics
AMER - Canada - Ontario - Offsite/Home
R
CAD 101K-147K Mid-level Full Time
Tasks
- Analyze paid media effectiveness
- Build predictive models for acquisition and retention
- Communicate findings to senior leaders
- Define success metrics and measurement strategies
- Design and evaluate experiments
- Develop revenue forecasting models
- Develop statistical models and measurement frameworks
- Improve data quality and analytical best practices
Perks/Benefits
- N/A
Skills/Tech-stack
Attribution | BigQuery | Causal Inference | Data Visualization | Databricks | Difference-in-differences | Experimental Design | Gradient boosting | Hypothesis Testing | Incrementality testing | Logistic Regression | Looker | Machine Learning | Marketing Mix | Marketing mix analysis | Mix analysis | Power BI | Predictive Modeling | Propensity Score Matching | Propensity score | Python | R | Random Forests | Redshift | Regression Analysis | SQL | Score Matching | Snowflake | Statistical inference | Survival analysis | Tableau | Uplift Modeling
Education
Roles
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