Data Scientist

8506


Data Scientist


Tasks

  • working in an EdTech startup environment 
  • collaborating with leaders, faculty, and support staff of the university (even talking with them)
  • analyzing various types of data (survey, educational, app usage, natural language, etc.)
  • maintain data pipelines
  • develop machine learning and data analytical solutions
  • taking part in all areas of data processing and analytics including data cleaning, data transformation, feature engineering, and statistics
  • supporting research & development projects


Experience

  • 2-5 years of experience
  • Familiar with databases (we work with MySQL)
  • Coding skills (we use and abuse Python)
  • Understanding of main statistical concepts
  • Strong problem-solving skills
  • Proactivity and the ability to work independently
  • Work with us in the analog environment of the office (home office once or twice a week)
  • Written and verbal English language skills (min. B2)
  • Ideal candidate: 
  • Is a generalist
  • Has a quantitative academic background (STEM, psychology, sociology, economics)
  • Has a research and publication experience (maybe even started or completed a PhD)
  • Has a wide range of interests
  • Has worked with machine learning, especially with NLP 
  • Can think in complex systems


What we offer


8507

  • Private-sector competitive financial offer
  • Innovative, research and design-oriented work environment 

8508

  • Free language learning opportunities
     
  • Discounted participation in adult education courses organized by the University
     
  • If you're interested in design and contemporary art, you'll never be bored here, and university events are open to staff
     
  • Lunch at MOME Kantin at a reduced price

8509


  • Health is important to us, so we offer a range of free sports activities on campus and at our contracted partners' premises
     
  • A range of access options: bus, car sharing zone, bicycle, and free parking
     
  • Free mental health sessions are available
     
  • Laptop and mobile phone provided


Jelentkezés

Küldd el jelentkezésed az hr@mome.hu email címre, melyben tárgyként kérjük, tüntesd fel a pozíció megnevezését.


Jelentkezem az állásra




Overview

Place of work

MOME Campus

1121 Budapest, Zugligeti út 9.

Organizational unit

Digitalization & Development

Working hours

Teljes munkaidő




Moholy-Nagy University of Art and Design



Visit employer page


No deadline
Location: Hungary, Budapest
Categories: Computer Engineering, Computer Sciences, Data analysis, Data Science, Machine Learning, Statistics,

Apply


Ads
GFZ - Helmholtz / Deutsches GeoForschungsZentrum


Max Planck Institute for Social Law and Social Policy


BOKU Universität für Bodenkultur Wien


AIT Austrian Institute of Technology


SAL Silicon Austria Labs GmbH


Helmut-Schmidt-Universität - Universität der Bundeswehr Hamburg


Helmholtz Centre for Infection Research (HZI)


More jobs from this employer