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

Unternehmen : Entrix Gmbh

Auftragstyp : Vollzeit

Munich

Anzahl der Bewerber

000+

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

Join us on our journey: We’re a diverse team of 30+, from 12+ nationalities, and steadily growing. 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
Office Work set up
Language Requirement: C1 Level English

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.

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.

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.

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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 person is Elizabeth Wasike.

If you have any questions, feel free to send us an email to [email protected]

We are looking forward to receiving your application!

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

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

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