Lead Data Scientist

Ubique Systems; Düsseldorf; Remote; EUR 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Project Lead in Data Science & AI to spearhead the development of comprehensive AI solutions. This role requires a seasoned professional with 6-10 years of experience, adept in managing interdisciplinary teams and integrating AI into global products. The ideal candidate will demonstrate proficiency in data science methods, machine learning frameworks, and possess strong communication skills to effectively present technical information. Join a forward-thinking company and make a significant impact in the pharmaceutical domain by driving AI initiatives.

Qualifications

• 6-10 years of experience in data science and AI.
• Experience in managing interdisciplinary project teams.

Responsibilities

• Lead the development of end-to-end AI solutions.
• Coordinate global products integrating AI as a core component.

Skills

German proficiency (C1 level)

Data science methods

Machine learning frameworks

Project management

Problem-solving

Communication skills

Job description

Role : Project Lead in Data Science & AI

Location : Germany – Remote

Domain : Pharmaceutical

Experience range : 6-10 years

Mandatory : proficiency in German (Minimum C1 level)

Details :

We are currently seeking a qualified individual to assume the role of Project Lead in Data Science & AI. This position is pivotal in advancing our end-to-end AI solutions.

Experience in developing AI Chains

• Proven experience in creating standalone AI and AI Chains implemented as comprehensive solutions

Role knowledge

• Experience in various roles such as developer, requirements engineer, and product owner
• Ability to coordinate global products that integrate AI as a core component, 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 analyze complex problems and develop innovative solutions aligned with business objectives
• Competence in effectively communicating technical information and presenting to diverse audiences
• Experience in managing interdisciplinary project teams