Data Scientist / Project Manager (m/f/d)

  • Novalytica AG
  • Bern / Zurich / Remote
  • 02/12/2022
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Business Intelligence Artificial Intelligence Data Management Statistics Data Warehouse

Job Description

You are a committed, motivated, and customer-oriented personality who is ready to take on a lot of responsibility in a dynamic and rapidly developing environment? Then you are exactly the reinforcement we are looking for!

We are a data science boutique that develops data products using novel data science methods and supports organizations on their data journey. On that path, we are looking for a highly motivated individual to support our growth.

Your work:

  • You will work on a range of projects at the intersection of data science and economics/business
  • Work with BI Tools such as Microsoft Power BI
  • Set up data pipelines in the Azure Data Analytics environment
  • Work with R and Python
  • You will have the responsibility to lead projects from the beginning to the end by coordinating and planning activities in a multi-disciplined team
  • Managing and retaining relationships with existing clients
  • Developing growth strategies and identifying new business opportunities

Your profile:

  • Completed a university degree preferably in Physics, Math, Engineering, Finance, Economics or a quantitative field
  • 1-3 years of experience in data analytics or a related field
  • Good knowledge of R or Python 
  • Experience with Business Intelligence tools such as Power BI, Qlik Sense, or Tableau or willingness to learn it
  • Native German skills
  • Fluent in English; French would be a plus
  • You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
  • Passion for data!

What’s in it for you:

  • You will be part of a dynamic data science startup with an ambitious team of talented people
  • A flexible and creative work environment
  • Option to work from home
  • The ability to work on a wide variety of data projects for a range of clients
  • Experience in a growing startup 

Starting date: Autumn 2022 or upon agreement,