About the Role
Join a fast-moving AI/ML team in a technical role focused on applying strong quantitative thinking and engineering ability to data science challenges. This is an opportunity to contribute in a zero-to-one startup environment, where the team values practical output and adaptability over a conventional data science career path.
What You'll Do
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Use quantitative and engineering skills to develop practical solutions to data science and AI/ML problems.
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Work through ambiguous challenges and help turn early-stage ideas into useful technical output.
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Use agentic AI coding tools as part of your daily development workflow.
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Collaborate with a technically strong team in a high-intensity startup environment.
What We're Looking For
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Approximately 5 to 10 or more years of relevant technical experience.
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A strong quantitative foundation, such as a rigorous degree in mathematics or a related field, or equivalent depth.
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Experience in a technical role such as AI engineering, machine learning, software engineering, or data science. A data science job title is not required.
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Prior experience as an early startup hire, ideally in a team of 1 to 15, with hands-on work in a zero-to-one environment.
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Daily experience with agentic AI coding tools or comparable development tools.
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Comfort working at a fast pace, with a high level of ownership and intensity.
Compensation & Benefits
Compensation is €70,000 to €110,000 annually. Visa sponsorship is available.
Location
Hybrid in Berlin, Germany. Relocation support is available for candidates moving to Berlin.
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Data Scientist, Raw Talent Hire in Berlin Arbeitgeber: Clera
Als Arbeitgeber in einem dynamischen B2B-Startup im Bereich Bautechnologie bietet unser Unternehmen eine inspirierende Arbeitsumgebung in Berlin, die Kreativität und Innovation fördert. Wir legen großen Wert auf die persönliche und berufliche Weiterentwicklung unserer Mitarbeiter und bieten zahlreiche Möglichkeiten zur Weiterbildung sowie ein unterstützendes Team, das gemeinsam an der Lösung realer Probleme arbeitet. Mit flexiblen Arbeitsmodellen und einer offenen Unternehmenskultur schaffen wir ein Umfeld, in dem jeder Einzelne einen bedeutenden Beitrag leisten kann.
