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Lead Data Scientist

Ubique Systems

Frankfurt

Remote

EUR 70.000 - 110.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

An innovative firm is seeking a Project Lead in Data Science & AI to spearhead the development of cutting-edge AI solutions in the pharmaceutical domain. This role requires a seasoned professional with 6-10 years of experience, proficient in German, to guide interdisciplinary teams and coordinate global products that integrate AI seamlessly. You will leverage your expertise in data science methods and machine learning frameworks to analyze complex challenges and devise innovative solutions that align with business objectives. Join us in shaping the future of AI in healthcare!

Qualifikationen

  • 6-10 years of experience in Data Science and AI development.
  • Proficient in German (C1 level) for effective communication.

Aufgaben

  • Lead projects in Data Science and AI, coordinating global AI-integrated products.
  • Manage interdisciplinary teams to deliver end-to-end AI solutions.

Kenntnisse

AI Development
Project Management
Data Science Methods
Machine Learning Frameworks
Problem Analysis
Communication Skills

Jobbeschreibung

Role : Project Lead in Data Science & AI

Location : Germany – Remote

Domain : Pharmaceutical

Experience range : 6-10 years

Mandatory : proficient in Germany (Minimum C1)

Details :

We are currently looking for a qualified person to take on the role of Project Lead in the area of Data Science & AI . This role is central to the further development of our end-to-end AI solutions.

Experience in the development of AI Chains

  • Proven experience in creating stand-alone AI and AI Chains implemented as end-to-end solutions

Role knowledge

  • Experience in various roles such as developer, requirements engineer, and product owner
  • Ability to coordinate global products that include AI as an integral feature, rather than just separate models or features

Technical and project management skills

  • Expertise in data science methods and tools
  • Familiarity with common machine learning frameworks
  • Ability to analyse complex problems and develop innovative solutions in line with business objectives
  • Competence in clearly communicating technical information and presenting to different audiences
  • Management of interdisciplinary project teams
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