ppKapsch is one of Austria's most successful integral technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future. To learn more about our solutions and innovations, visit our website here. We are looking for a Data Scientist with experience developing machine learning solutions and analytical models, from experimentation to validated production-ready models. You will work closely with the Product Owner, Data Engineers, MLOps Engineers, and Data Analysts to transform business challenges into scalable AI solutions and data products. /ph3What you’ll do /h3ulliDesign, develop, and validate machine learning models through iterative experimentation and PoC cycles. /liliWork directly with customers and stakeholders to understand business problems, define use cases, KPIs, and success criteria. /liliDevelop forecasting, predictive, and analytical models, with strong focus on time series use cases. /liliCollaborate closely with Product Owners, Data Engineers, Data Analysts, and MLOps Engineers to deliver AI and ML solutions efficiently. /liliPerform feature engineering, model validation, and model performance analysis.



/liliBuild demo-ready PoCs and visualizations to communicate results and insights to stakeholders. /liliTrack experiments, metrics, and model evolution using MLflow. /liliWork with analytical datasets and contribute to the definition of datasets and features for ML use cases. /liliContribute to technical standards, best practices, and AI/ML solution design. /li /ulh3What we’re looking for /h3ulli4+ years of experience as a Data Scientist, ML Engineer, or similar role focused on analytical and ML solutions. /liliDegree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field. /liliStrong background in machine learning. /liliExperience managing ML experimentation cycles, model lifecycle, and production model maintenance, using tools such as MLflow or similar. /liliProficiency in Python and experience working with SQL. /liliExperience working with analytical databases and large datasets. /liliFamiliarity with orchestration tools such as Apache Airflow and notebook-based experimentation workflows. /liliStrong English communication skills, both written and spoken. /liliAnalytical mindset, fast learner, collaborative attitude, and customer-oriented approach. /liliExperience working in Agile environments. /li /ulh3Our offer /h3pPermanent role. Hybrid working model (3 days of remote work/week). Flexible working hours. 30 business days of annual leave. Flexible remuneration plan. /p /p #J-18808-Ljbffr

📌 Data Scientist (Granada)
🏢 Kapsch Trafficcom
📍 Granada