Short Facts
Join us on our journey: To drive the smart and sustainable energy future, we are looking for a forward-thinking and experienced Senior Data Scientist (d/f/m) who shares our vision and values. It will be your mission to develop the features of our solution that transitions the energy system to become intelligent, flexible and finally sustainable.
- Location: Munich, Germany
- Employment Type: Full-Time or Part-Time, indefinite term
- Salary Range: € 80.000 - 115.000 per year gross depending on the seniority level
- Hybrid work setup (min. 3 days in the office, 2 days in home office) + Workation up to 3 weeks per year
- Language Requirement: C1 Level English
Your Responsibilities
- Research, develop and productize ML models for energy trading and for price 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.
Your Profile
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 or financial sectors.
- 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 battery engineers, 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 Entrix, 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.
Your Benefits
- Competitive Compensation Package: Including salary, benefits and options
- Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc.
- Health & Sport Subsidy: Company subsidised sports facilities membership
- Public Transportation Subsidy: Monthly subsidy to your public transport ticket
- Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
- Work Equipment: Mac Book or Windows Laptop and ergonomic workplace
- Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.
A Short Note from Your Future Lead
Marco Pennacchiotti- Head of Data Science and Data Engineering
I joined Entrix in August 2024. My mission is to build a world-class team of Data Scientists that solves some of the most challenging data science problems we face today, ultimately contributing to save the planet, one Megawatt at a time.
Before joining Entrix, I worked at Meta, eBay, Yahoo! and BMW, always with a focus on Machine Learning and big data, and on solving real-world problems, be that improving search engines’ algorithms, building autonomous driving vehicles or fine tuning Large Language Models.
I love Entrix because it enables me to combine my passion for data and algorithms with my commitment to save the environment, by working on projects that are at the forefront of the energy transition, machine learning and data science. Also, at Entrix I rediscovered that entrepreneurial and getting-things-done spirit that I missed so much after coming back to Europe from my time in Silicon Valley.
As a manager, my goal is to empower individuals to work in autonomy, help them deliver value in production, work across functions as “one team”, and grow in their career path focusing on their strengths. I strive to build an informal environment where everybody can be productive, communicate openly and freely, and ultimately have fun while feeling a strong sense of achievement.
Your Contact in our People Team
Your contact person is Elizabeth Wasike.
If you have any questions, feel free to send us an email to talent@entrixenergy.com
We are looking forward to receiving your application!
Apply for this job
Über uns
Mit unserer KI-gestützten vollautomatischen Optimierungs- und Handelsplattform für flexible Energieanlagen, von Batteriegroßspeichern bis hin zu virtuellen Kraftwerken, sorgen wir dafür, dass Energie gespeichert wird, wenn sie im Überfluss vorhanden ist und wieder ins Netz gespeist wird, wenn sie benötigt wird. Ebenso wirken wir durch den aktiven Handel von Strom starken Preisschwankungen entgegen, die erneuerbare Energien mit sich bringen. Wir tragen dazu bei, dass Batteriegroßspeicher effizient für das Stromnetz sind und die höchste Rendite für Anlagenbesitzer erzielen, um den Übergang zu einer grünen Energiezukunft zu beschleunigen.
