Principal Applied Scientist / Lounge by Zalando (all genders)
Tasks
- Analyze complex A B tests
- Apply causal inference techniques
- Build economic models for business decisions
- Create scientific research roadmaps
- Design and run experiments with complex constraints
- Design experimentation frameworks
- Estimate heterogeneous treatment effects
- Perform statistical power analysis
- Provide scientific feedback and coach junior colleagues
- Reduce variance in experiments
- Use quasi experimental methods on observational data
Perks/Benefits
- Discounts
- Employee shares program
- Family counseling support
- Health and wellbeing options
- Hybrid working
- Mental health support
- Paid volunteering days
- Peer-to-peer review
- Relocation assistance
- Training platform
- Work from abroad
Skills/Tech-stack
Airflow | Build tool | Causal Inference | Causal forests | DBT | Data Build | Data Build Tool | Databricks | Difference-in-differences | Double Machine Learning | Egoless Feedback | Experimental Methods | Git | Heterogeneous treatment effects | Jupyter Notebooks | Machine Learning | Power analysis | PySpark | PyTorch | Python | Quasi Experimental | Quasi-experimental methods | SQL | Scikit-learn | Statistical Power | Statistical power analysis
Education
Roles
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