Senior GTM Data Scientist
Tasks
- Apply causal inference methods
- Build predictive machine learning models for GTM
- Build propensity models
- Conduct marketing mix modeling
- Define and govern KPI measurement framework
- Design and analyze A/B tests
- Develop marketing and sales attribution models
- Develop reusable Feature Store assets
- Forecast customer lifetime value
- Instrument and manage data quality
- Provide technical guidance on modeling and experimentation
- Translate model results into business narratives
Perks/Benefits
- Hybrid work option
- Professional development
- Remote-first
- Supportive team
- Virtual team-bonding events
- Work schedule EU time zones
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Bayesian Methods | Causal Inference | DBT | Databricks | Difference-in-differences | Machine Learning | Marketing Mix | Marketing Mix Modeling | Matching | Mix Modeling | Multivariate Testing | NumPy | Pandas | Propensity Modeling | Python | R | SQL | Scikit-learn | Sequential testing | Snowflake
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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