Senior Data Scientist - GTM Data
Tasks
- Apply Bayesian methods
- Apply causal inference methods
- Build predictive machine learning models for GTM
- Conduct marketing mix modeling analysis
- Create marketing and sales attribution models
- Define and govern KPI measurement framework
- Design analyze controlled experiments
- Develop LTV forecasting models
- Develop propensity models
- Develop reusable predictive assets with feature stores
- Instrument and validate data quality
- Perform AB testing and multivariate testing
- Provide guidance on data exploration and causal methodologies
- Translate model results into business narratives
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Bayesian Methods | Causal Inference | DBT | Databricks | Difference-in-differences | Key Performance Indicator | Machine Learning | Marketing Mix | Marketing Mix Modeling | Matching | Mix Modeling | Multivariate Testing | NumPy | PSM | Pandas | Python | Quasi-experimentation | R | SQL | Scikit-learn | Snowflake
Education
Roles
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