Senior Data Scientist - GTM Data
Tasks
- Build predictive machine learning models
- Conduct AB testing analysis
- Create propensity models
- Define KPI measurement frameworks
- Design and analyze controlled experiments
- Develop marketing and sales attribution models
- Develop reusable predictive assets
- Ensure data quality with Data Engineering
- Execute deep dive data investigations
- Forecast customer lifetime value
- Instrument and govern KPI framework
- Interpret marketing mix modeling results
- Perform causal inference analysis
- Provide technical guidance on data exploration and modeling
- Translate model outputs into business narratives
Perks/Benefits
- Global team connectivity
- Remote friendly team collaboration
- Virtual team-bonding events
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Bayesian Methods | Causal Inference | Churn modeling | Customer Lifetime Value | DBT | Data Instrumentation | Data Quality | Databricks | Difference-in-differences | Experimentation | Feature Store | Key Performance Indicators | Lifetime Value | Machine Learning | Marketing attribution | Matching Methods | Multivariate Testing | NumPy | Pandas | Performance indicators | Predictive Modeling | Propensity Modeling | Python | Quasi-experimentation | R | SQL | Sales attribution | Sample Size | Sample Size Calculation | Scikit-learn | Sequential testing | Snowflake | Variance reduction
Education
Roles
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