Data Science Manager (d/f/m) at Entrix GmbH
80802 München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

09 Oct, 25

Salary

0.0

Posted On

09 Jul, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Energy Industry

Industry

Information Technology/IT

Description

SHORT FACTS

Join us on our journey: To drive the smart and sustainable energy future, we are looking for a Data Science Manager (d/f/m) to oversee strategic tech initiatives from development through to successful execution.

  • Location: Munich, Germany
  • Employment Type: Full-time
  • Salary Range: € 115.000 - 135.000 + competitive VSOP package
  • Working Mode: In office setup
  • Language Requirement: C1 Level English

SKILLS TO SET YOU APART

  • Having led a mix of Data Science and Software Teams
  • You have built data science teams before
  • Experience in the energy industry

A SHORT NOTE FROM YOUR FUTURE LEAD

Sébastien Schikora - Chief Technology Officer
Hi there!
I’m Sébastien Schikora, and I’ve been driving tech innovation as CTO at Entrix since June 2022 and Flexa since February 2024. My career has been a mix of exciting challenges and opportunities, with a strong focus on transforming the energy industry and reshaping how electricity grids work and the best is yet to come.

Here’s a quick snapshot of my journey so far:

  • CTO at KONUX (2018–2022): Shaped the company’s tech vision, built world-class products, and scaled technology to solve big problems.
  • Senior Manager at Tesla (2015–2018): Led the charge in developing cutting-edge energy storage systems and seamless mobile experiences.
  • VP of Product Development at NES Corporation (2014–2015): Helped launch a new company and product line, disrupting grid digitalization.
  • Echelon Corporation: Spent six years driving innovation in grid modernization and smart metering, from product management to development leadership.Hewlett Packard: Before diving into energy, I spent over a decade refining enterprise software solutions.

  • Having spent most of my career in Silicon Valley, I bring a mindset that’s all about pushing boundaries, moving fast, and creating meaningful impact. Now based in Munich, I apply that same energy to building teams and driving innovation here in Europe.
    At Flexa and Entrix, we believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do.
    If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges out there, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together.
    Looking forward to seeing what we can create.
    Best,
    Sébastien Schikora

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

Responsibilities
  • Lead, coach, and support a growing team of Data Scientists and Data Engineers working on cutting-edge machine learning algorithms to unlock flexibility in the energy system.
  • Foster individual growth and team cohesion through mentoring, feedback, and structured talent development.
  • Set a high bar for engineering and scientific quality — drive best practices, lean development processes, and a fail-fast mindset.
  • Own the algorithmic direction and ensure alignment with Flexa’s long-term strategic and technical goals.
  • Balance exploration and execution — clearly delineate where experimentation is encouraged and where delivery focus is key.
  • Actively contribute to building and deploying production-ready ML models — from research prototypes to scalable implementations.
  • Role-model collaboration across technical teams and shape a high-performance, data-driven engineering culture.
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