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2 data scientist jobs found in Hybrid

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Hybrid Full time data scientist
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Data Science  (2) Data Engineering  (2) Data Management  (2) Data Analytics  (1) Artificial Intelligence  (1) Data Warehouse  (1)
Bluefish AI
28/10/2026
Full time
Senior/Staff Data Scientist, Analytics
Bluefish AI Hybrid (Berlin, Germany)
Hybrid working in Berlin About the Position As a   Senior or Staff Data Scientist   focusing on Analytics, you'll serve as the statistical backbone of Bluefish's Data Science team. You'll own experimentation and causal inference frameworks, produce rigorous methodological work, and function as the key escalation point for data-driven decision-making across the organization. You'll collaborate closely with Data Analysts, Applied Researchers, and cross-functional stakeholders — including Product, Marketing Strategy and Services, and Operations — to deliver insights, harden the metrics we report, and deepen the capabilities of our platform. This role presents a greenfield opportunity to help define Bluefish's data science practice from the ground up, with direct impact on both our internal operations and the analytics products we deliver to customers. The role is linked to our office in Berlin, but we are flexible about hybrid or remote work in Germany. What...
REPLY
28/10/2026
Full time
(JUNIOR) DATA SCIENTIST / AI ENGINEER (M/W/D)
REPLY Hybrid (Berlin, Germany)
Full job description BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas   to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases   throughout the entire AI lifecycle. Identifying patterns and trends   while simultaneously translating technical results into   actionable recommendations   and   presenting   the results to the relevant department and management. Close collaboration   with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation   in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand   your   professional   skills through   interdisciplinary   collaboration and targeted training in the areas of data engineering, cloud...
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