(Senior) Data Scientist (m/f/d) - Innsbruck/Vienna


Start date

Are you looking for an exciting challenge in the field of data and AI to fully live out your passion for data-driven AI/IT integration projects? Then we offer you the opportunity to start immediately as a Data Scientist (m/f/d) at our locations in Innsbruck or Vienna to help shape the future of the data world with us and our experts.

Your tasks

Data and AI are your home? Furthermore, your new challenge will be as follows:

  • You purposefully design and lead challenging data science projects in an interdisciplinary team
  • You routinely recognise the needs of your customers and develop effective, data-driven solutions
  • From the data sets of your customers, you extract the data that is crucial for the task at hand.
  • You create innovative solutions with the help of modern methods from the areas of statistics, machine learning, mathematical optimisation and visual analytics.
  • You successfully communicate your results to customers and then accompany the comprehensive implementation of your idea together with the data engineering team
  • You manage your colleagues in the project and lead them to success
  • As an expert with specialist knowledge, you will take part in regular customer meetings and networking events

Your profile

Data is in your DNA? You should bring that with you:

  • Completed university studies in (business) informatics, business administration, statistics, mathematics or a comparable course of study with a strong quantitative focus
  • At least 3 years of professional experience in the field of business analytics and data science as well as strong industry experience in areas such as energy, industry, logistics and/or public administration
  • Very good analytical and conceptual thinking skills, strong understanding of data modelling and analysis as well as knowledge of software development
  • Several years of experience in project management (classic and agile methods)
  • Expertise in common analytics toolboxes, especially programming languages such as Python (and relevant libraries), visualisation solutions (such as Qlik, Tableau, PowerBI) as well as databases and Big Data technologies
  • You enjoy project-related work, are customer-oriented and have strong communication skills
  • Negotiations and presentations in German and English are no problem for you

We offer

Data moves us! You can find out what awaits you on your personal journey here:

Work-life balance
Trust-based working hours with flexible working time organisation, hybrid working model, workation - take advantage of the opportunity to work from other EU countries
Culture & Cooperation
Unique team atmosphere, flat hierarchies to our CEO Alex as well as an open feedback culture, annual team workshops at our Data.Castle in the Zillertal, lived Data.Musketeer principle - "one for all, all for one!", our [at] Buddy programme for better networking, regular professional and leisure events, dog-friendly offices.
Professional & personal development
Intensive onboarding & familiarisation process, personal development plan and individual training opportunities, diverse range of workshops and training courses within the Data.Academy by our experienced Data.Musketeers as well as external providers, management, project manager and expert career paths.
Remuneration & fringe benefits
Childcare allowance, company pension scheme with 20% subsidy, numerous corporate benefits & employee offers (e.g. for events and travel), starting credit in our internal merchandise shop, competitive salary with variable components
Health & Wellbeing
Mental health & wellbeing support as well as coaching and meditation by, fitness and yoga rooms in the Munich office, regular employee surveys, EGYM Well Pass membership with Plus1 option, bicycle leasing via Jobrad after the probationary period, internal groups for sports activities, free hot and soft drinks as well as fresh fruit in the office, roof terrace (barbecue).
Central location of the offices, good connections to public transport, possibility to work from other locations


Janine Sauer, HR Manager: