Senior Machine Learning Data Scientist (d/m/f)

at  Flexa

SHORT FACTS

• 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

MANDATORY REQUIREMENTS

• University degree in Computer Science or Statistics, with main focus on Machine Learning.
• 5+ years industry experience in Machine Learning time series forecasting, 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

• Industry experience in Deep Learning
• Experience in Linear and Stochastic Optimization
• Work experience in energy trading or similar fields

At Flexa, we are committed to diversity - of backgrounds and experiences. You don’t need 100% of the preferred qualifications to add incredible value to our team. If you’re passionate about what you could accomplish here, we’d love to hear from you.

CONTACT INFORMATION

Your contact person is Elizabeth Wasike (Talent Acquisition Partner).
If you have any questions, feel free to send us an email to talent@flexa.energy
We are looking forward to receiving your application!

ABOUT US

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.

• Research, develop and productize ML models for distributed energy system including optimized aggregation, clustering, dispatch concepts and forecasting
• Implement, deliver and monitor well-engineered data science 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.
• Build, iterate, deploy and maintain code from inception to completion.