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Experienced data scientist - energy management (m/f/d)

Jenbach
INNIO Group
Data Scientist
Inserat online seit: 14 April
Beschreibung

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

Nice To Have

Knowledge about energy markets and trading (EPEX / Day-Ahead, Intraday, Control Power Market) and regulatory frameworks for grid operations

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.

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