Experienced Data Scientist - Energy Management (m/f/d)

Experienced Data Scientist - Energy Management (m/f/d)

What INNIO offers you:

• An innovative and international working environment
• Flexible working time model (depending on position and role)
• Health We Care program - including company sports activities
• Moving cost support for new employees in accordance with policy
• Good connections to public transport - station in direct proximity
• Transportation cost support in accordance with policy
• One of the best canteens in the area with healthy and various meals
• Attractive location in the heart of the Alps with various outdoor sports and leisure possibilities

Your Responsibilities:

• Work in the Data Science Team of the INNIO Digital organization on exciting Data Science and Software Development tasks with a strong focus on energy markets and INNIO's cloud-based myplant Energy Management product
• Work on power plant optimization and simulations for the customers of our energy management solution
• Implement complex algorithms and analytics from idea generation over development to product release
• Apply related software development standards, guidelines, design practices and legal instructions to design reliable and compliant products

Your Qualifications:

• Bachelors / Master's degree (or equivalent) in Computer Science, Mathematics or any other related degree
• Working experience in machine learning model design, development and validation (Python, PyTorch, TensorFlow, SciKit)
• Working experience in implementing Python applications and webservices (Dash, Flask, FastAPI)
• Experience with Linear Programming / Optimization methodologies and solvers (MILP, SCIP, CBC, Pyomo)
• Experience with databases (relational and/or NoSQL)
• Experience in consuming REST and GraphQL APIs
• Knowledge about energy markets and trading (EPEX / Day-Ahead, Intraday, Control Power Market) and regulatory frameworks for grid operations

Nice to have:

• Experience with large time-series data sets
• Experience with Prefect pipelines and/or MLOps (i.e. MLflow)
• Experience with cloud-based, containerized microservice architectures (Kubernetes, Docker)
• Experience with additional programming languages (Java, JavaScript)

At INNIO, we offer an attractive compensation package that is above the collective agreement for the metal industry. Your qualifications and experience will be considered in an open dialogue during the recruiting process to ensure a market-competitive compensation package.

Interested?

Please apply via: innio.com/en/careers