Senior Applied Scientist / Lounge by Zalando (all genders)
Tasks
- Analyze A/B tests
- Build statistical models
- Coach junior colleagues
- Conduct causal analysis using observational data
- Design and run experiments
- Design experimentation frameworks
- Estimate heterogeneous effects
- Perform economic modeling
- Provide scientific feedback
- Solve causal inference problems
Perks/Benefits
- Discounts
- Employee shares program
- Family services
- Gympass
- Health and wellbeing support
- Mental health support
- Relocation assistance
- Vacation time
- Work from abroad
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Build tool | Causal Forest | Causal Inference | Causal modeling | Data Build | Data Build Tool | Databricks | Difference-in-differences | Experimental Methods | Experimentation | Git | 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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