Trinetix
Berlin, Germany
We are seeking a skilled Data Science Engineer to design, build, and deploy production machine learning solutions for an enterprise Fleet Cascading & Optimization Platform managing 46,000+ vehicles across 545+ locations. In this role, you will develop and operationalize demand forecasting, cascading optimization, contract intelligence (NLP/Vision), and out-of-spec prediction models with a strong focus on explainability and business impact. You will own the end-to-end ML lifecycle — from experimentation and model development to scalable production deployment on AWS—working closely with engineering and business stakeholders to deliver reliable, data-driven outcomes.
Must-Have Requirements
Programming & ML Frameworks: Python; PyTorch or TensorFlow; scikit-learn; XGBoost or LightGBM; pandas; NumPy
Time Series & Forecasting: BSTS; Prophet; Temporal Fusion Transformer (TFT); hierarchical forecasting with MinT reconciliation
Optimization: Linear Programming and...