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Expect technical depth on end-to-end modeling: cleaning messy data, choosing features, validating with appropriate metrics, and explaining trade-offs. Prepare a case study that shows how you moved from raw tables to a model and a decision-facing visual—aligned with Senior Data Scientist scope at a product-oriented company like Makersite GmbH.
Strong fit if you already own the full data-science loop—from raw data through model selection and communication—and prefer remote work. Thin company-side DATA means culture and stack details should be confirmed directly with Makersite GmbH.
As a Senior Data Scientist at Makersite GmbH, a typical day centers on turning messy data into decision-ready insight. You would clean and process large datasets in statistical software, apply feature-selection and sampling methods, fit predictive models (for outcomes such as demand or attrition), compare them with loss or variance metrics, and ship charts or other visuals that stakeholders can act on.
Strengthen core practice areas reflected in the occupation data:
No certification list was provided for this family; prioritize portfolio projects and production modeling experience over generic certs.
Yes. The listing is marked remote; confirm time-zone and collaboration expectations with the employer.
O*NET Data Scientist tasks stress cleaning large datasets, feature selection, sampling, model comparison metrics, and visualization of results.
See the O*NET summary for Data Scientists at onetonline.org/link/summary/15-2051.00.
Public-domain labor data — prepare examples for 2–3 of these.
Senior Data Scientist (m/f/x) at Makersite GmbH, Remote job About This Position Makersite is a fast-growing company at the forefront of sustainable product development and digital collaboration. We are seeking an innovative Senior Data Scientist to join our team in building tools that enable companies to make smarter, more responsible decisions. As part of our growing team, you will play a key role in shaping the future of sustainable product development by developing and deploying production-grade AI systems. Core Duties Develop and deploy scalable APIs for production-grade AI systems Build, maintain, and optimize machine learning models to support data-driven decision-making Analyze complex datasets to derive actionable insights for our clients Collaborate with cross-functional teams to integrate data science solutions into product development processes Stay up-to-date with the latest advancements in AI and machine learning technologies Qualifications Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field 5+ years of experience as a Data Scientist in a professional setting Strong proficiency in Python and R for data analysis and machine learning Experience with building scalable APIs using frameworks like Flask or Django A deep understanding of statistical methods, algorithms, and model evaluation techniques Excellent communication skills to effectively present findings to non-technical stakeholders Passion for sustainability and a commitment to making meaningful impact through technology Working at Makersite GmbH At Makersite, we thrive on creativity, collaboration, and continuous learning. Our team is dedicated to pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Join us in building tools that enable transparency, efficiency, and responsibility in manufacturing. Next Steps If you're ready to make an impact and contribute to meaningful change, we want to hear from you! This role is a fixed, permanent position with all successful applicants receiving a permanent employment contract regardless of location. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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