Principal Data Scientist - Vendor Recommendations & AI
Tasks
- Build real time decisioning algorithms for vendor recommendations
- Collaborate with product engineering and commercial teams to validate hypotheses
- Define technical roadmap and mentor data scientists
- Develop time series models for demand forecasting and trend analysis
- Lead design build and deploy large scale AI recommendation systems
- Optimize take rate using causal inference and statistical methods
- Own next best action architecture and modeling
- Translate ML and statistical findings into executive narratives
Perks/Benefits
- Accident insurance
- Bicycle subsidy
- Corporate discounts
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym subsidy
- Health checkups
- Hybrid work model
- Language courses
- Life insurance
- Meditation
- Paid time off
- Public transportation ticket discount
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
Bayesian Methods | Causal Inference | Contextual Bandits | Deep Sequence Models | Feature Stores | Forecasting | Game theory | Graph Neural Networks | Incrementality testing | Keras | LSTM | Multi-Objective Optimization | Neural Networks | Next Best Action | Objective optimization | Python | Real Time | Real-time Decisioning | Recommendation Systems | Reinforcement Learning | Scikit-learn | Sequence Models | Series analysis | Time Series | Time Series Analysis | Transformers | Two Tower Models | Two-Tower | Uncertainty Quantification
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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