Senior Applied Scientist (all genders)
Tasks
- Collaborate with marketing analytics engineering stakeholders
- Design geo lift incrementality tests
- Develop custom media mix model solutions
- Drive scientific research for business problems
- Engineer features using AWS and Databricks
- Implement out of sample validation
- Implement time varying coefficients
- Incorporate stock availability constraints
- Lead causal inference research roadmap
- Perform Bayesian calibration
- Process high velocity datasets
- Provide guidance on marketing data science
- Run multicollinearity diagnostics
- Translate causal inference results into actionable investment reallocations
- Validate and calibrate media mix models for budget decisions
Perks/Benefits
- Employee shares program
- Family services
- Gympass
- Health and wellbeing options
- Hybrid working model
- Mental health support
- Paid volunteering days
- Peer-to-peer review
- Relocation assistance
- Training platform access
- Work from abroad
Skills/Tech-stack
AWS S3 | Amazon Redshift | Bayesian statistics | Causal Inference | Databricks | Experimental Design | Feature Engineering | Geo-lift | Geo-lift testing | Incrementality testing | Lift testing | Media mix modeling | Mix Modeling | Multicollinearity | Multivariate Diagnostics | Out of Sample Validation | Python | R | SQL | Series modeling | Tableau | Time Series | Time Series Modeling
Education
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