F
Senior Data Scientist – Forecasting
Finn Larsen
Full-time · Senior · Zurich
About the role
We run a supply chain optimisation platform for mid-size manufacturers. Our forecasting models generate 72-hour demand predictions used directly in production scheduling decisions. Current architecture: Prophet as baseline, gradient boosting ensemble for short-horizon, no proper uncertainty quantification. We know the weak points. We need a senior data scientist who can take this stack seriously — evaluate it rigorously, introduce probabilistic forecasting where the business case justifies it, and own the model development roadmap through the next major product cycle.
Responsibilities
- Own the forecasting model stack and its performance
- Introduce probabilistic output layers to improve planning reliability
- Design rigorous offline and online evaluation frameworks
- Work with our domain experts to incorporate manufacturing constraints into model inputs
- Mentor two mid-level data scientists on the team
Requirements
- 5+ years time-series forecasting in production environments
- Deep Python expertise (Pandas, Statsmodels, LightGBM or XGBoost, and ideally Darts or GluonTS)
- Experience with probabilistic forecasting and uncertainty quantification
- Able to evaluate model performance with appropriate metrics (MASE, WAPE, coverage) and explain trade-offs
- Familiarity with supply chain or manufacturing data is a strong plus
Benefits
- Technical ownership of a complex, commercially critical forecasting system
- Remote-first
- CHF 110,000 – CHF 140,000
- Conference and paper publication support
- Flexible schedule
Job Type
Full-time
Level
Senior
Language
English
Salary Range
CHF 110,000 – CHF 140,000
AI Expertise
data science & analytics
Ready to apply for this role?
Create a free talent account in under 2 minutes.
- Apply to verified AI companies
- Get AI-matched job recommendations
- Message hiring managers directly
- Build your public AI talent profile