Data Scientist at Valyria Technology GmbH
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

19 May, 25

Salary

0.0

Posted On

19 Feb, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

YOUR PROFILE

  • Studies & Professional Experience – You possess a degree in computer science, mathematics, physics, or a related field, complemented by a robust professional track record in data science, with at least 3 years in a Data Science role
  • Technical Expertise – You have excellent Python skills and understanding of common machine learning algorithms, cloud computing and data science software stack
  • Ingenuity – You are a creative and innovative problem solver who loves to overcome challenges
  • Mindset & Collaboration – You’re self-organised and thrive working independently, yet are eager to collaborate with everyone. With a ‘maker’ mindset, you’re conceptually adept and shine through your proactive and confident approach

ABOUT US

Now is the time to take action and fight the climate crisis. We want to support as many homeowners as possible to make their homes energy efficient and receive the best possible funding.
Residential homes are responsible for a significant percentage of global CO2 emissions and the pressure from high energy costs is higher than ever, but the path to a climate-neutral home with optimal funding is complicated. We combine expertise in the energy and buildings sector with practical project support and digital innovation, helping people and the environment in equal measures.

Responsibilities
  • Data Processing & Curation – You engage with our internal and public data to create clean datasets as a basis for our energetic simulations
  • Algorithm Development – You develop and tune Algorithms that enhance the quality and efficiency of the energy consultation for our customers
  • Benchmarking – You assess the performance of your algorithms, ensuring they meet our high-quality standards
  • New Approaches – You keep an eye on the latest developments in AI and come up with new approaches to improve our data products
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