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

Enpal; Deutschland; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a forward-thinking company committed to innovation in the energy sector! This exciting role involves researching and developing machine learning models for distributed energy systems, implementing data science solutions, and mentoring junior data scientists. With a strong emphasis on collaboration and technical excellence, you'll contribute to shaping the future of energy technology. Enjoy a supportive environment that values diversity and offers professional development opportunities. If you're passionate about using your skills to make a difference, this is the perfect opportunity for you!

Leistungen

Virtual Share Options

Annual development budget of 3,000 €

Health & Sport Subsidy

Public Transportation Subsidy

Lunch/Dinner Allowance Vouchers

Work Equipment

Regular Team Events

Qualifikationen

• 5+ years in ML and data science, focusing on energy systems.
• Strong expertise in Python and software development practices.

Aufgaben

• Research and develop ML models for distributed energy systems.
• Deliver and monitor data science solutions in production.

Kenntnisse

Machine Learning

Python

Data Science

Time Series Forecasting

Mentoring

Interpersonal Skills

Problem Solving

Ausbildung

University degree in Computer Science or Statistics

Tools

AWS

Jobbeschreibung

• Full-time

Munich

from today

Your duties

• Research, develop and productize ML models for distributed energy systems 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.

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 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.

Our offer

• 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.
• 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, iPhone (also for private use) and ergonomic workplace.
• Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.

Testimonials

Pepijn
Director Software Engineering
Empowerment and collaboration are necessary to create an impactful digital product. Having people from diverse backgrounds best enables us to build vibrant teams that tackle our complex engineering challenges. Different nationalities, genders, and lived experiences highlight distinctive solutions and allow for holistic problem-solving approaches.

Sarah
Software Developer
Having joined Enpal's tech team almost a year ago, I felt warmly welcomed from the beginning. It's an inspiring environment where everyone can pick tasks they enjoy. I appreciate the freedom to voice disagreements and have constructive discussions to find the best solutions collaboratively. We encourage suggesting and driving solutions - not just creating new features but also maintaining software and managing tech debt.