You will further develop and improve the data-driven systems in OCELL
You will work with classical data pipelines as well as machine learning systems
You help us to further code quality, great software engineering and data-driven thinking
Requirements
You completed a master‘s degree in Computer Science, Mathematics, Data Engineering and Analytics or equivalent practical experience
You have working experience as a Data Scientist
You bring a strong statistics and science skillset
You have multiple years of experience with Python, Git, software testing and CI/CD
You can speak and write English fluently
You can work in a small and agile team with quick decision-making
Ideally you also
be an amazing general software engineer as well
have experience with pandas and scikit-learn
worked with geodata before
have experience with SQL and AWS
have strong competencies in data structures, algorithms and software design
have experience with workflow orchestration systems
have experience with containerized processing workflows
can speak German
Benefits
With your contribution you are part of a sustainable product that enables forests to
reach their full climate protection potential.
You will work in a startup with many nationalities - we value diversity and connecting
people.
You have the opportunity to take on a lot of responsibility, contribute your own ideas and
shape your own scope of action.
We operate in a very dynamic and fast-moving business model and rely on an agile and flexible way of working.
You have the opportunity to help shape and advance an innovative technology.
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Zuletzt aktualisiert am 19.04.2024
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Über das Unternehmen
Ocell GmbH<p>OCELL is a Munich-based climate-tech startup that offers data-driven, high-quality carbon credits to support local landowners. Our mission is to unlock the full potential of forests and make a significant contribution to climate mitigation. </p>
<p>To achieve this, we use aerial photographs, data from various sources, and artificial intelligence to create ‘digital twins’ of forests. These provide valuable insights into forest growth, current carbon storage capacity, and enable us to predict optimal forest management strategies. With our state-of-the-art technology and unwavering commitment to data transparency, we ensure the effectiveness of our solutions.</p>