5 hybrid jobs

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...