Data Science Lead
Tasks
- Architect and evolve lifetime value models
- Build adstock and saturation modeling
- Calibrate MMM using incrementality experiments
- Deploy production ML prediction services
- Develop real time UA campaign optimization algorithms
- Guide MLOps infrastructure monitoring and iteration
- Lead and develop ML and backend team
- Own pLTV predictive lifetime value strategy
- Stand up marketing mix modeling capability
Perks/Benefits
- Adoptive parents pay
- Enhanced parental leave
- Female health leave
- Fully paid sabbatical
- Hybrid work 3 days per week in office
- In person collaboration hybrid
- Learning Support
- Maternity pay
- Paid holiday
- Paid sick leave
- Paternity pay
- Pension
- Same sex parents pay
- Wellbeing perks
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | Automated retraining | B testing | Bayesian statistics | CatBoost | Causal Inference | Cloud Platforms | Data Engineering | Incrementality testing | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Model Monitoring | Model versioning | Regression Analysis | Scikit-learn | Supervised Learning | TensorFlow | Time Series | Unsupervised Learning
Education
N/A
Roles
Data Science | Data Science Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Science Lead
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