Senior Data Scientist for Optimization of Electric - Munich, Deutschland - The Mobility House GmbH
Beschreibung
Was wir Dir bieten- An open company culture, encourage each other to participate to the fullest
- A diverse and agile team which is selforganised
- We invest in you and help you develop your skills
- We are a fun and downtoearth group with talented colleagues from all over the world
- We're working in a great office space, that energizes us everyday. Most of all we love BBQ parties on our roof terrace near the Ostbahnhof
- Together with you we have this one vision to desing a zero emission future for energy and mobility
- As part of our EV aggregation platform team, you quantify the flexibility of our EV portfolio by describing energy demand, availability and technical restrictions
- You optimize the operation of our EV portfolio by assigning the energy procurements to the most suitable assets
- You design and implement algorithms both for simulations and our products
- You collaborate with energy system experts, data engineers, data scientists and software developers to take your ideas from draft to production
- Future tasks may also include topics like algorithm engineering, generation of forecasts, control loop systems
- You have professional experience or a strong academic background in optimization and data science
- You have a conceptual understanding of mathematical optimization and are familiar with modeling optimization problems, optimization programming languages and solvers
- You have programmed projects in python, implemented optimization problems from data preprocessing through to validation, using real world time series data
- You feel responsible and want to drive projects forward
- You like to plan and coordinate development work
- Background knowledge in distributed energy resources, electric mobility or forecasts would be a plus
- You are a team player, enjoy working in a crossfunctional team and on changing problem domains
Deine Ansprechpartnerin
Maren Lüeße
Job Types:
Full-time, Part-time
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