Forecast Scientist, Time Series & Production ML

Omek; Amsterdam; Ibrido; EUR 110.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work: Amsterdam office Mondays/

Meals: lunch provided on office days

Pension: 4.5% contribution

Mental health support

MacBook Pro

Travel allowance for commute

Annual learning budget €1,000

€550 home office budget

€50/month connectivity for WiFi/phone

Flexible holiday policy with at least

Quarterly company events

Descrizione del lavoro

Source is seeking a Staff Data Scientist to take forecasting for a physical system from data quality and measurement to production deployment. You will work closely with data scientists, crop scientists, and growers in Amsterdam to ensure forecasts are trusted and used weekly.

The role is a senior individual contributor, with no people management, reporting to the Director of Engineering and collaborating with engineers to keep models robust in production.

Competenze

• Deep expertise in time series and probabilistic forecasting.
• Experience shipping models in production for real-world systems.
• Proven ability to diagnose and fix forecast failures in changing environments.
• Strong evidence of production-grade Python and engineering habits.

Mansioni

• Own the accuracy of harvest forecasts for multiple crops.
• Decide which problem is worth solving first and where to intervene.
• Design and build hybrid models combining crop physiology with ML.
• Build the evaluation backbone: backtests, baselines, uncertainty calibration.
• Ship models to production in collaboration with engineers.
• Mentor and raise the bar for the data science team.

Conoscenze

Time series forecasting

Bayesian models

Hierarchical models

Gradient boosting

Deep learning for sequences

Uncertainty quantification

Python in production

Git

Testing

CI/CD

Databricks

AWS

PyMC

Formazione

MSc or PhD in a relevant field

Strumenti

Databricks

AWS

Python (pandas, polars, scikit-learn, PyTorch/JAX)

Git

CI/CD

PyMC

Descrizione del lavoro

Source is seeking a Staff Data Scientist to take forecasting for a physical system from data quality and measurement to production deployment. You will work closely with data scientists, crop scientists, and growers in Amsterdam to ensure forecasts are trusted and used weekly.

The role is a senior individual contributor, with no people management, reporting to the Director of Engineering and collaborating with engineers to keep models robust in production.