Data Scientist / AI Expert (m / f / d)

  • HYVE AG
  • Munich, Germany
  • 29/10/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description

You love innovation, are fascinated by new trends and technologies? Your heart beats for Data Science? Take your chance and become a Data Scientist / AI expert in the Innovation Research Team at HYVE.

About HYVE:

HYVE offers a unique end-to-end innovation approach in the House of Innovation in the heart of Munich (U-Bahn station University), which promotes successful and customer-centered innovation from the first idea to the final implementation. An important competence area at HYVE is Artificial Intelligence. Take your chance and join us as Data Scientist / AI expert to design and research tomorrow's intelligent product and service innovations. This is a permanent full-time job.

You should bring that with you:

  • A graduate degree (Master / Diploma) with very good grades, eg computer science, mathematics, physics, economics
  • Approximately 2 years of practical experience in AI topics (eg Recommender Systems, Natural Language Processing, Image Recognition, Robotics)
  • First practical experience of project acquisition and management of smaller project teams
  • Solid programming skills (in Python and / or R) and database experience (eg MySQL, MongoDB, Apache Hadoop)
  • First experience with visualization tools (eg Tableau, KNIME, Dataiku, D3.js)
  • An understanding of common software development processes is a plus (eg Requirements Engineering, Testing, Scrum / Kanban)
  • Enjoyment of learning and experimentation (eg new data, technologies and conceptual approaches)
  • Teamwork, empathy, confident demeanor, good time management, hands-on mentality and humor
  • Secure communication skills in German and English

We offer you:

  • Acquisition and management of exciting AI projects (eg recommender systems, chatbots, Industry 4.0, IoT and much more)
  • Own areas of responsibility and creative freedom in innovative AI projects for well-known companies worldwide
  • The opportunity for applied research on AI topics in collaboration with renowned universities (eg LMU, TUM, MIT, Harvard)
  • Attend AI conferences, meetups and hackathons
  • Working in a creative and interdisciplinary team with flat hierarchies
  • Development of completely new software products in an agile development environment
  • Use of current software tools and data science frameworks