Machine Learning Engineer | Agritech | Amsterdam
il y a 2 semaines
THE FIRM : STARTUP AGRITECH INNOVATIVE Incredible Dutch startup revolutionizing agriculture through data science It accurately predicts the volumes and prices of fruits and vegetables, helping producers and wholesalers plan more effectively, reduce waste, and boost their performance. This is as good as it gets when it comes to data science in this sector. If you're passionate about these topics and want to work on machine learning models within a high-level team, this opportunity is for you. Why did I choose this company? An innovative startup shaking up the agriculture sector A high-level, passionate and ambitious tech team Cutting-edge technologies with real-world impact Advanced data science applied to concrete challenges A stimulating technical environment to grow and learn every day YOUR MISSION : TAKE THE LEAD ON BUILDING CUTTING-EDGE ML MODELS You’ll join as a Machine Learning Engineer within a 6-person team — a key role at the heart of the product and the company’s entire data strategy. In a stimulating, data-driven environment, you'll work on several major fronts: Design, deploy, monitor, maintain, and continuously improve ML and Deep Learning models Tackling diverse challenges such as user conversion, churn prediction, recommendation systems, and segmentation. Conduct tailored analyses at various levels(model performance, A/B testing, commercial potential assessment, pre-sales analysis, etc.) This is a strategic role where your models will have a direct impact on business outcomes YOUR PROFIL : DATA SCIENTIST WHO WANTS TO DELIVERY A LOT You're a great fit for this role if you have: Technical expertise: Strong experience with tabular data and time series Experience: At least 3 years in a full-time role working on similar topics Soft skills: Excellent communication abilities Bonus points if:You’ve worked in bio-related environments (, agritech, biotech, life sciences) MODALITIES : - Localisation : Amsterdam, remote friendly - Salary : 60K to 80K
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