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2 director data science jobs found in Berlin

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Kayzen
01/04/2026
Full time
Senior Data Engineer/Data Ops (m/f/d)
Kayzen Berlin, Germany
Senior Data Engineer/Data Ops (m/f/d) Remote EMEA/ Remote India ________________________ Hello I am Adriano, Machine Learning Lead at Kayzen, and I am now looking for a Senior Data Engineer who will be a part of the machine learning engineering team bridging the gap between data science and ad systems engineering team But wait, you have not heard of Kayzen before? Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through our self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world's best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 300B+ daily ad requests from 1.6B+ unique users worldwide, we...
cap-on GmbH
18/03/2026
Full time
Senior Software Engineer (m/f/d)
cap-on GmbH 10829 Berlin-Tempelhof-Schöneberg, Germany
You don't just want to ship generically generated code, but rather help digitize industry on a large scale? Then join cap-on and build IoT products with us that truly advance machine manufacturers. If you're interested in challenging IoT, backend, and infrastructure topics with real impact – let's talk! Who are we? cap-on supports machine and plant manufacturers with a plug-and-play IoT solution and associated web platform to easily implement data-based business models such as pay-per-use, remote service or fleet digitization. We not only have many years of experience in developing scalable, production-ready IoT applications, but also a strong partner in the industry with thyssenkrupp. Who are we looking for? 3+ years of professional experience as a software engineer Track record of the realization and/or support of own software projects in production Extensive knowledge of Python and/or Golang & modern standards Infra/DevOps: Docker, Linux, Shell, Cloud...
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