Beschreibung

Senior Data Scientist with 15 years of experience delivering machine learning and AI solutions for complex, real-world problems across healthcare, climate, energy, and industrial domains. Proven track record of leading cross-functional projects, collaborating with stakeholders, and translating large-scale data into actionable insights and decision-support tools. Experience spanning academia and industry, with expertise in time series analysis, data-driven modelling, and AI-driven innvoation.

Branchenexpertise

Sprachen

Englisch
Verhandlungssicher
Französisch
Verhandlungssicher
Deutsch
Grundkenntnisse
Rumänisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Lausanne (bis zu 50 km)

Swiss Statistical Design and Innovation
Senior Data Scientist
DIGITALAGENTUREN & IT-CONSULTING
September 2025 - Februar 2026 (5 Monate)
Fribourg, Switzerland
• AI/ML for energy forecasting: Developed a validation and backtesting framework for energy demand forecasting, benchmarking and optimizing tree-based, neural network, and transformer-based models, leading to consistent performance improvements across providers for intraday forecasting (Python, PyTorch).
• AI/ML applied data science: Led the technical delivery of end-to-end AI/ML solutions for manufacturing anomaly detection and sales forecasting, including presentation of results to stakeholders. Led the design and execution of an audio signal classification project. Completed proof-of-concepts were validated and funded for the next project phase.
Machine learning Deep Learning Python Forecasting Anomaly detection
Volv Global SA
Senior Research Data Scientist
PHARMAZEUTISCHE INDUSTRIE
Juli 2023 - August 2024 (1 Jahr und 1 Monat)
Lausanne, Switzerland
• Machine learning for healthcare: Developed ML methods for patient classification and early disease diagnosis across multiple disease areas using real-world data, improving predictive performance by 10-20% over clinical domain experts
• Patient group discovery and explainable AI: Applied clustering, explainability, and rule extraction to identify patient subgroups and characterize subgroup-specific predictive factors, delivering interpretable findings to pharmaceutical partners
Machine learning Pharma Explainable AI Python Deep Learning
Swiss Data Science Center, EPFL
Senior Data Scientist
FORSCHUNG
September 2017 - Dezember 2022 (5 Jahre und 3 Monate)
Lausanne, Switzerland
• Scientific ML: Worked on interdisciplinary projects in collaboration with ETH-domain laboratories, including representation learning for climate science, physics-informed ML for atmospheric prediction, and forecasting of extreme events.
• Machine learning and causal inference: Developed robust high-dimensional regression methods for climate change detection under interventions and transfer learning setings with good extrapolation properties (Python).
Machine learning Data science Project Management Climate science Causal reasoning