6 data scientist jobs found in Berlin

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...

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...

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...

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...

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 architecture and data science (individually...

Full job description At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team. We advance the state of the art in molecular design by training large-scale foundation models that enable cutting-edge generative approaches. Those models depend on rich, high-quality experimental data that captures biological function. Progress requires not only building better models, but also designing better experiments, understanding measurement systems, and generating datasets that faithfully represent underlying biology. You will collaborate closely with biologists and machine learning researchers to design, analyze, and improve the experiments that power our models. You will help determine what data should be generated, how experiments should be structured, how measurement artifacts can be identified, and how biological insights can be translated...