Data Scientist – Time Series & Anomaly Detection

À propos de cette offre Expleo offers a unique offer of integrated engineering, quality and strategic consulting services for digital transformation. In a context of technological acceleration, we are the trusted partner of companies that innovate. We help them develop a competitive advantage and improve the lives of millions of people. Joining Expleogroup means 17,000 employees in 30 countries, but also: • Have technical and human support for each project and effective follow-up of your career • Carry out training to develop professional skills • Participate in dedicated special events • Integrate a dynamic team To join our Team of Data consultants based in Geneva area , we are looking for a Data Scientist – Time Series & Anomaly Detection (m/w) As AI specialist , you will contribute to the development of an advanced machine learning solution in the motorsport and automotive domain. The project focuses on building a robust anomaly detection system, combining data engineering, machine learning and software engineering practices to transform complex data into actionable technical insights. Your mission: • Develop and optimise machine learning models for time-series analysis and anomaly detection • Design and implement data pipelines from raw data to ML-ready datasets • Build explainable AI solutions enabling users to understand model outputs • Define performance indicators and analytical frameworks • Establish MLOps foundations including experiment tracking, model lifecycle management and reproducible workflows • Produce technical documentation and support knowledge transfer. You will collaborate with experienced engineering and data teams in a highly technical environment combining AI, software development and advanced analytics. Your Profile: • You have 6 years minimum experience in Machine Learning Engineering 7 Data Science ideally in motorsport, automotive, aerospace, environments • Strong expertise in time-series data and anomaly detection • Advanced Python skills and experience with ML frameworks • Experience developing end-to-end machine learning solutions • Knowledge of MLOps practices and software engineering standards • Ability to translate complex technical outputs into clear insights • Fluent French and English mandatory