Senior Data Scientist

Roughly one-third of the world's food is never consumed - some 1.3 billion tonnes wasted each year. Our client addresses this through applied machine learning: a demand-forecasting SaaS platform that reduces fresh-food waste by up to 30% while lifting enterprise revenue.Already trusted by Germany's largest grocery retailers and live across multiple European markets, it has raised an 8-figure Series A, reached €2M ARR, and holds contracts to reach €5M this year.Role Overview:You’ll join as a Senior Data Scientist, tackling one of mass retail’s toughest ML problems that affects billions in wasted food - forecasting demand and optimising inventory when products perish, stock data is imperfect and every decision has real-world consequences.Key Responsibilities:Design the models that forecast the full spread of fresh-food demand, with honest uncertainty.Build the simulation and ordering logic that turns forecasts into orders.Own quality across the pipeline, from raw data to orders on shelves.Write clean, tested production code alongside AI coding assistants.Help steer technical direction and hold the bar high.Work with Customer Success and Engineering to lift results store by store.Qualifications:You've shipped systems whose decisions carry real-world cost.Track record in probabilistic forecasting, stochastic inventory or operations research.Production Python and SQL, at ease with big, messy data.Hands-on with quantile regression, LGBM, conformal prediction, newsvendor models.Evaluate and monitor live ML; at home on GCP (BigQuery, Vertex AI), dbt, Airflow.You code alongside AI assistants daily.If you want to apply serious Data Science to a problem that affects billions in wasted food – building forecasting and optimisation systems already influencing daily decisions at major European retailers – we’d love to hear from you.