Data Scientist, D2C Data Science
Tasks
- Analyze payment and subscription outcomes including payment success authorization funnel routing and recovery
- Apply data science methods to D2C payments and subscriptions
- Build statistical and machine learning models for forecasting segmentation propensity retention and payment optimization
- Communicate findings with recommendations confidence levels caveats and next steps
- Design analyze and interpret A B tests holdouts and quasi experimental analyses
- Partner with cross functional teams to ensure analyses are technically sound actionable and operationally useful
- Use SQL and Python to prepare data validate assumptions and produce reproducible workflows
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | BigQuery | Causal Inference | Customer Segmentation | Databricks | Experiment design | Forecasting | Machine Learning | Payment optimization | Predictive Modeling | Propensity Modeling | Python | Retention modeling | SQL | Snowflake | Statistics | Subscription Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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