Lead Business Data Scientist
Tasks
- Apply causal inference techniques
- Build attribution models
- Build forecasting models
- Build segmentation models
- Build uplift models
- Deliver reliable ML solutions with testing and monitoring
- Design and analyze A/B tests
- Drive recommendations through product or process change
- Engage stakeholders to understand business problems
- Explain probability uncertainty and trade offs to non technical audiences
- Own data discovery analysis validation and deployment lifecycle
- Provide mentorship through code reviews and knowledge sharing
- Reformulate ambiguous requests into data and ML problems with success criteria
- Ship MVP and iterate based on impact
- Validate offline and online model performance
Perks/Benefits
- Corporate doctor access
- Education allowance
- Employee discount program
- Employee share scheme
- Expat tax perks
- Gym access
- Paid Maternity Leave
- Paid paternity leave
- Paid sick leave
- Paid time off
- Relocation support
- Sports club membership
- Support for naturalisation
- Top-tier health insurance
- Unlimited learning opportunities
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | B testing | CI/CD | Causal Inference | Data Analysis | Data discovery | Forecasting | LLM | Language Processing | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Probability | Python | SQL | Segmentation | Statistics | Test automation | Uplift Modeling | Version control | Window Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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