Data Scientist

  • RESEARCH & DEVELOPMENT
  • München, Deutschland

Data Scientist

Deine Aufgaben

FINEWAY is a Smart Travel Concierge blending real human experts with cutting-edge technology for perfectly tailored travel experiences.

The award-winning mobile service simplifies the life of every modern traveller by transforming the tedious research and planning process into a delightful journey. Artificial intelligence and machine learning help FINEWAY to fully personalise each trip according to travellers' individual needs by detecting travel behaviours and predicting personal preferences. While providing an exceptional service, rendered by dedicated travel designers with deep destination expertise, travelling with the Smart Travel Concierge FINEWAY is not only free of charge, but – due to the company's price airbag – costs less than arranging your own trips.

 

Your Responsibilities

•   Transform large, complex datasets into pragmatic, actionable insights.

•   Use algorithms & methods of machine learning to improve our products, business models & user experience.

•   Leverage data to identify, quantify and influence tangible business gain.

•   Have the capacity to thrive in our fast-paced environment, adapt quickly and take ownership of your work.

•   Participate in analysis and design of our data stores and data analytics.

Dein Profil

Your Profile

  • Experience with real-world data, large and small.
  • Good knowledge in both SQL and NoSQL databases, data modeling, data representation and API design.
  • Practical experience with programming languages such as Python or R.
  • Master´s degree in Computer Science, Mathematics or Statistics or similar and/or relevant work experience
  • Quick mind and strong passion for solving complex data science problems.
  • You have the ability to quickly understand business requirements and transform them into data models.
  • You have an aptitude to independently learn new technologies and you are passionate about data.
  • Familiar with Data Mining and Machine Learning theory and techniques.
  • PLUS: Experience with AWS
  • PLUS: Machine Learning
  • PLUS: Confidence and experience in communicating with external (non-engineering) stakeholders