Location: Munich, Germany
- Employment Type: Full-Time, indefinite term
- Salary Range: € 88.000 - 115.000 per year gross depending on the seniority level
- Office First work setup
- Language Requirement: C1 Level English
Be part of a cross-functional team of data scientists and software engineers.
Research, develop and productionalize ML models for distributed energy system including clustering and forecasting.
Implement, deliver and monitor well-engineered data driven solutions in our real-time production system.
Contribute to define our data science roadmap, and help shape our next generation algorithms.
Promote technical excellence, advocate for ML and coding best practices, contribute to our open, data-driven engineering culture, and mentor junior data scientists.
Design, implement, deploy, and operate robust machine learning solutions in production.
Mandatory Requirements
University degree in a data-driven or analytical field (such as Computer Science, Statistics, Applied Mathematics, Data Science, or related disciplines), with a strong focus on Machine Learning.
5+ years industry experience in Machine Learning time series, or in data science applied to the energy sector or complex distributed systems.
Proficiency in software development and software practices (e.g. testing, code quality, monitoring), with strong expertise in Python.
Proven experience in delivering and monitoring machine learning artifacts in production
Experience working in AWS
Proven record of mentoring junior data scientists, leading them to contribute to the organization’s financial performance
Excellent English communication and interpersonal skills
You enjoy solving problems and sparring ideas in a cross-functional team with our data scientists, software engineers, product managers and business developers
Skills to Set You Apart
Specifically, experience working with large amounts of time-series data.
Experience in Linear and Stochastic Optimization
Virtual Share Options: We offer virtual share options to all our employees
Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc
Health & Sport Subsidy: Company subsidised sports facilities membership or
Public Transportation Subsidy: Monthly subsidy for your public transport ticket
Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
Work Equipment: MacBook, an ergonomic workplace setup, and company-funded access to leading AI development tools so you always have the best tools available
Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.
If you have any questions, feel free to send me an email to maria.neumeier@flexa.energy or talent@flexa.energy
We are looking forward to receiving your application!
Flexa, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power Plant (VPP) delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future.
The combination of delivering complete residential energy systems at great cost with savvy market participation in several revenue streams sets us up to deliver real world customer savings while improving customer satisfaction enjoying the advantages of a fully electrified and energy producing home.
Through a deep integration into the installed hardware and a direct connection to the customer interfaces, Flexa’s solution controls the energy assets (such as EV, heat pump, home storage and others) of the entire Enpal energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent real-time dispatching algorithms, Flexa maximizes Enpal customers’ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.