Senior Applied Scientist (All genders)
Tasks
- Apply Bayesian time series
- Apply CausalML methods
- Build attribution models
- Conduct code and methodology reviews
- Design causal experimentation frameworks
- Develop marketing mix models
- Document models and pipelines
- Ensure MLOps production readiness
- Implement automated unit and integration tests
- Implement deep learning models
- Mentor junior and mid scientists
- Optimize marketing spend
- Own brand measurement scientific roadmap
- Translate model results to business strategy
Perks/Benefits
- Employee shares program
- Family services
- Health and wellbeing support
- Hybrid working
- Mental health support
- Paid volunteering days
- Peer to Peer Reviews
- Relocation assistance
- Remote work option
- Training platform
- Work from abroad option
Skills/Tech-stack
Adstock | Attribution Modeling | Bayesian Methods | Bayesian time series | Causal Inference | CausalML | Deep learning | Experimentation Design | Integration Testing | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | PySpark | Python | Quasi-Experiments | SQL | Saturation Curves | Synthetic controls | Time Series | Unit Testing
Education
Roles
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