Senior Data Scientist*in (d/f/m)

Senior Data Scientist- Optimization (d/f/m)

Festanstellung, Vollzeit · Munich

88.000 - 115.000 € pro Jahr

Lesen Sie die Stellenbeschreibung in: Englisch EN

Deutsch

Short Facts

• Location: Munich, Germany
• Employment Type: Full-Time or Part-Time, indefinite term
• Salary Range: € 88.000 - 115.000 per year gross depending on the seniority level
• Office Work set up
• Language Requirement: C1 Level English

Your Responsibilities

• Research, develop, and adapt algorithms that unlock the capacity in the energy system through optimized returns in trading the flexibility of our assets
• Create data science solutions that solve business challenges through well engineered, elegant technical answers (focus on software)
• Advance our product development roadmap and help scaling our solutions to further applications expanding the reach of our solution
• Foster technical excellence, drive best practices contribute to our open, data driven engineering culture
• Building, iterating, deploying and maintaining code from scratch to excellence

Your Profile

Mandatory Requirements

• University degree in Computer Science, Mathematics, Statistics or related fields, with focus on data science, optimization or scientific computing
• 3+ years industry experience in applied data science, preferably in 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 solving real world problems with data science methods, mathematical optimization, or scientific computing, delivering value in production
• 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

• Experience in time series data processing and data  analysis
• Experience in bringing complex algorithms into production
• Experience in Machine Learning
• Experience working with AWS
• Work experience in the energy industry, particularly 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 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 t*****t@en**********gy.com

We are looking forward to receiving your application!

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About us

With our AI-powered fully automated optimization and trading platform for flexible energy assets from grid-scale batteries to virtual power plants, we ensure that energy is stored when it is abundant and released into the grid when it is needed. At the same time, by actively trading electricity, we counteract strong price fluctuations that green energies entail. Figuring out how storage provides the best value to the electricity grid and the highest returns to asset owners is how we accelerate the transition to a clean energy future.

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