Climate Transition Data Specialist
vor 2 Wochen
We are seeking a skilled Data Scientist to join our team at Asset Impact (AI), an impact-driven climate start-up that has been part of GRESB since 2022.
This role involves developing and managing complex data models, supporting product development, and maintaining direct client engagement. You will work closely with cross-functional teams to ensure our data offerings remain accurate, impactful, and aligned with our clients' needs.
Key Responsibilities:- Develop and maintain data science models and algorithms for key industry sectors, such as power, aluminum, and cement, ensuring data accuracy and applicability to client needs.
- Collaborate with the product team to integrate data-driven insights into product features and contribute to roadmap planning.
- Serve as a technical resource, addressing client inquiries related to data models and disclosures and ensuring accurate and timely responses.
- Support quality assurance processes during quarterly data refreshes, ensuring data integrity and reliability across all products.
- Lead and contribute to research efforts to improve the data modeling methodologies and stay abreast of advancements in data science, including machine learning applications.
This is an excellent opportunity to contribute to a rapidly growing organization with many opportunities to get hands-on experience, make your voice heard, and help shape our future.
The ideal candidate will have a strong understanding of data cleaning and preparation techniques, experience developing robust and flexible data QA processes, and demonstrated ability to approach challenges with creativity and innovative thinking to solve problems related to data modeling.
In return, you can expect a competitive salary of around €80,000 per year, generous personal development budget, and home office set-up.
About the Role:This is a full-time position based in Berlin, Germany, with opportunities to collaborate with international teams.
We are looking for a talented individual who is passionate about sustainability and has a strong background in data science.
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