Staff Data Scientist, Forecasting

Source.agAmsterdamHybridFull-time6 Oct 2026

Source is hiring a Staff Data Scientist, Forecasting in Amsterdam to own the accuracy of harvest forecasts for tomato, pepper and cucumber. The role requires around 10 years of hands-on modelling or forecasting experience, deep expertise in time series and probabilistic forecasting, and production-grade Python, with a focus on hybrid models combining crop physiology and greenhouse climate with statistical and machine learning methods.

What you'll do

Own the accuracy of our harvest forecasts for tomato, pepper and cucumber, especially in the unusual weeks, from diagnosis to a fix growers use
Decide which problem is worth solving first, including when the fix is in the input data, the plant sampling or the grower's plan rather than the model
Design and build hybrid models that combine crop physiology and greenhouse climate with statistical and machine learning methods
Build the evaluation backbone: backtests on past seasons, strong baselines, uncertainty calibration and production monitoring, so the next ten fixes get cheaper
Ship your models to production with our engineers, and stay responsible for how they behave there
Raise the bar of the data science team through review, challenge and mentoring

What you need

Must-have

Pythonpandaspolarsscikit-learnPyTorchJAXPyMCGit

Nice-to-have

Physics-informed MLmechanistic modelsprocess-based modelsdata assimilationKalman filteringsystem identification

Soft skills

Clear communicationmentoringreviewchallengereasoning from first principleshold a view under pressuredrop it when the evidence says so

Data ScienceForecastingTime SeriesProbabilistic ForecastingMachine LearningSoftware DevelopmentSeniorAmsterdamHybridAI-native

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Must-have

Nice-to-have

Soft skills

What you'll do

What you need