6 data science jobs found in Hybrid

No salary information provided. Company pension scheme, flexible working hours Full-time Hybrid working in Berlin Full job description Tagesspiegel Background is the Tagesspiegel's B2B specialist information product: professional briefings and political monitoring for ministries, associations, law firms, and companies, available via an annual subscription. We are looking for someone to join our product team who will combine business and product data to create reliable decision-making tools. The role is intentionally broad: you will combine reporting, product analytics, and data quality; further develop our reporting; analyze usage and business development; and contribute to shaping how we measure and evaluate usage and translate it into product decisions. So you don't just pull a report when asked for one. You also ask yourself: What has changed? Why might that be the case? What further data or...

Further training programs, company pension scheme, company bicycle leasing, home office option, company events, flexible working hours Description At Appsfactory, Germany's leading agency for digital transformation, we are committed to developing customized software solutions for clients in various sectors, including healthcare, media, the public sector, and more – also in the field of artificial intelligence, such as chatbots and voicebots, recommendation systems, sentiment analysis, content creation, and the development of knowledge databases. If you are passionate about   tracking and analytics   and proficient in working with data structures and SQL, then you've come to the right place! We offer an inspiring environment where you can significantly advance the topic of data intelligence at Appsfactory. We are not looking for a pure data scientist or theoretical researcher, but rather a strong, consultative individual who is eager to implement...

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...

No salary information provided. Company events, flexible working hours Permanent position Hybrid working at Boxhagener Straße 71, 10245 Berlin This is femtasy femtasy is the audio-only streaming platform for sensual audio stories & sexy sounds for women. We inspire women to explore and enjoy on their own terms. We're a female-centric product, led by a female CEO & Founder, with over 90% of our team identifying as women+. We've already positively impacted the lives of hundreds of thousands of women by redefining female pleasure – and we're just getting started. Your mission and your impact: Today, all data requests from Marketing (our principal stakeholder), Product, and Finance funnel through our Head of Data, who scopes every ask before an external agency executes it. That doesn't scale. You'll be the first internal hire to change that: sitting directly with stakeholders, turning vague...

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...