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4 data scientist jobs found in Berlin

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Full time  (4)
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...
Slected.me GmbH
28/10/2026
Full time
Data Scientist (*gn)
Slected.me GmbH Berlin, Germany
Job description No salary information provided. Berlin Internship Job description Learning, data, scaling, and agility are among your favorite words. As a Data Scientist at Slected.me, you can leverage your strong collaborative skills and your ability to extract valuable insights from highly complex datasets to ask the right questions and find the right answers. Your tasks Raw data analysis: Quality assessment, data cleansing, and structuring for downstream processing Design of accurate and scalable prediction algorithms Collaboration with the engineering team to bring analytical prototypes to production. Generate actionable insights for business improvements Your qualification Bachelor's degree or equivalent experience in a quantitative field (statistics, mathematics, computer science, engineering, etc.) At least 1-2 years of experience in quantitative analytics or data modeling In-depth...
AERTiCKET GmbH
28/10/2026
Full time
Data Scientist – Machine Learning (m/f/d)
AERTiCKET GmbH Berlin, Germany
Free catering, company events Permanent position, full-time Berlin Your tasks: Do you want to do more with data than just create reports and analyses? Do you enjoy developing models that solve concrete problems and are ultimately used in production? Then join our team at AERTiCKET and help us develop data-driven solutions and machine learning applications for various business areas. From analyzing large datasets and developing models to operationalization, you will be involved in the entire process and work closely with our specialist departments in data engineering, software development, and IT. Your tasks Analyzing large datasets to identify relevant patterns, trends, and business opportunities Development, training, validation and optimization of machine learning models, e.g. for forecasting, classification, clustering and optimization tasks. Conducting model evaluations, experiments and analyses to continuously improve...
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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