Principal Engineer - Causal Inference and Experimentation Lead - Hawthorn East
Hawthorn East Melbourne, VIC, AU, 3123
AUD 110K-123K (estimate) Senior-level Full Time
Tasks
- Advise on audience cohort and control group design
- Build causal inference pipelines and measurement systems
- Collaborate with marketing commercial and product leadership
- Define measurement standards and roadmap
- Deliver end to end measurement from framing to reporting
- Design experiment frameworks and validation methods
- Develop causal models and attribution approaches
- Ensure data privacy and compliant experimentation
- Implement experimentation platform architecture guidance
- Lead Bayesian inference and uplift modelling
- Lead enterprise experimentation and causal inference solutions
- Mentor data scientists analysts and engineers
- Perform power analysis and metric definition
Perks/Benefits
- Discounts
- Fitness classes
- Free parking
- Free parking BBQ area mini supermarket fooderie hub school holiday program
- Gym facility
- Hybrid working options
- Learning and development programs
- Paid parental leave
- Recognition program
- Team member share plan
Skills/Tech-stack
A/B | A/B Testing | Adobe Analytics | Attribution | Automated testing | B testing | Bayesian Inference | CI/CD | Causal Inference | Causal modeling | CausalImpact | DAG | Data Privacy | DataOps | Difference-in-differences | DoWhy | EconML | Google Analytics | Infrastructure as Code | Instrumental Variables | LaunchDarkly | MLOps | Machine Learning | Marketing Mixture Models | Metric Definition | Mixture models | Multivariate Testing | Numpyro | Optimizely | Power analysis | Propensity score | PyTorch | Pymc | Python | R | Regression discontinuity | Scikit-learn | Stan | Synthetic controls | Uplift Modeling | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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