Data Scientist & Machine Learning Engineer, Powertrain Design and Optimal Selection
- Αθήνα
- Μόνιμη
- Πλήρης Απασχόληση
Data is at the heart of innovation, and we are building a Machine Learning team to unlock its full potential. As a Senior Data Scientist & Machine Learning Engineer, you will lead groundbreaking initiatives within our Data & Optimization efforts in the South EU region. This role offers significant autonomy-you'll drive projects from conception to deployment, with the freedom to innovate and shape our ML capabilities.Our wealth of physics-based data, derived from high-fidelity, validated models, provides a robust foundation for transformative insights. By applying advanced machine learning techniques, you'll enhance decision-making processes, optimize system performance, and refine design strategies for powertrain systems. Your data-driven contributions will deliver a competitive edge, enabling us to explore innovative solutions and push the boundaries of engineering excellence.We are in the early stages of scaling this capability, so we're seeking a highly proactive and self-driven expert who thrives in an evolving environment. If you have a proven track record of independent research and application of ML to complex engineering challenges, this is your opportunity to make a lasting impact.What You'll Do
- Lead Machine Learning for Design Optimization: Develop and deploy advanced ML models using high-fidelity physics-based data to minimize reliance on time-intensive simulations and explore vast design spaces efficiently.
- Drive Data-Driven Decision Making: Conduct large-scale data analysis to inform and accelerate human-driven selection of optimal powertrain designs, fostering faster, more precise engineering outcomes.
- Manage Data Lifecycle: Collect, clean, process, and analyze complex datasets to derive actionable insights for ML applications, ensuring data integrity and scalability.
- Innovate and Validate Models: Design, implement, evaluate, and iterate on sophisticated ML models to enhance design strategies and system performance, incorporating techniques like deep learning and reinforcement learning.
- Integrate ML into Core Workflows: Spearhead the embedding of ML-driven insights into existing design processes, promoting efficiency, innovation, and cross-functional collaboration.
- Mentor and Collaborate: Guide junior team members, contribute to strategic planning, and stay abreast of emerging ML trends to continually elevate our capabilities.
- PhD in Computer Science, Data Science, Electrical Engineering, or a related field (or Master's with equivalent professional experience); strong preference for candidates with research focused on ML applications in engineering or physics-based systems.
- 2+ years of hands-on experience in machine learning and data science, with a demonstrated ability to work independently on complex, real-world projects.
- Advanced proficiency in Python and expertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Proven expertise in data processing and analysis, including handling large datasets with tools like Pandas, NumPy, SQL, and big data technologies (e.g., Spark or Dask).
- Strong background in software engineering practices, including Agile methodologies, version control (e.g., Git), and CI/CD pipelines.
- Excellent analytical and problem-solving skills, with a structured approach to tackling ambiguous technical challenges.
- Fluency in English (written and spoken); additional languages are a plus.
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