Data Scientist Position for Renewable Energy Expert
Vor 2 Tagen
Flexa, a joint venture between Enpal and Entrix, is committed to delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future.
The company combines residential energy systems with savvy market participation in several revenue streams, enabling real-world customer savings and improved satisfaction.
Salary and Benefits
As a Data Scientist at Flexa, you can expect a salary range of €88,000 - 115,000 per year gross, depending on your seniority level. Additionally, our compensation package includes virtual share options, professional development opportunities, health and sport subsidies, public transportation allowances, lunch/dinner vouchers, work equipment, and regular team events.
Job Description
We are seeking a Senior Machine Learning Data Scientist to join our team in Munich, Germany. In this role, you will research, develop, and productize ML models for distributed energy systems, including optimized aggregation, clustering, dispatch concepts, and forecasting. You will also implement, deliver, and monitor well-engineered data science solutions in our real-time production system.
Your responsibilities will include contributing to define our data science roadmap, helping shape our next-generation algorithms, promoting technical excellence, advocating for ML and coding best practices, and mentoring junior data scientists.
You will be responsible for building, iterating, deploying, and maintaining code from inception to completion. A strong understanding of software development and software practices, including testing, code quality, and monitoring, is essential for this position.
Required Skills and Qualifications
To be successful in this role, you should have a university degree in Computer Science or Statistics, with a main focus on Machine Learning. At least 5 years of industry experience in Machine Learning time series forecasting, data science applied to the energy sector, or complex distributed systems are required.
Proficiency in Python and experience working in AWS are highly valued. Proven experience in delivering and monitoring machine learning artifacts in production, as well as mentoring junior data scientists, is also essential.
A proven record of leading teams to contribute to the organization's financial performance and excellent English communication and interpersonal skills are necessary for success in this role.
Candidates with industry experience in Deep Learning, Linear and Stochastic Optimization, and work experience in energy trading or similar fields will be given preference.
About the Role
This is an exciting opportunity to join a dynamic team and contribute to the development of innovative solutions for the energy sector. If you are passionate about Machine Learning and data science, and want to make a meaningful impact in the transition to a sustainable energy future, we encourage you to apply.
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