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Data Scientist

Starting recruitment for Data Scientist position? Take advantage of our universal job offer template, and save your time.

Recruiting for the Data Scientist position?

Are you starting your recruiting process for the position of Data Scientist in your company and wondering how to start creating a job offer? We’re here to help. We have prepared a small cheat sheet for you below, which will help you understand what Data Scientist is responsible for. Once you have got to know it, feel free to use our job offer template as a whole or as an inspiration in your recruitment.

What Data Scientist does?

The Data Scientist looks at what questions need to be answered and sees where it can find the right data to analyze and identify those answers. He has very good analytical skills and business understanding, as well as the ability to search, extract and analyze large amounts of unstructured data. They can often end up developing predictive models to theorize and forecast certain aspects.

Role in the organization

Are you starting your recruiting process for the position of Data Scientist in your company and wondering how to start creating a job offer? We’re here to help. We have prepared a small cheat sheet for you below, which will help you understand what Data Scientist is responsible for. Once you have got to know it, feel free to use our job offer template as a whole or as an inspiration in your recruitment.

Our requirements

  • At least two years of experience in a similar position
  • Experience in obtaining data
  • Understanding of the mechanisms of machine learning
  • Strategic thinking and business sense
  • High level of mathematical competence
  • Solution-generating orientation
  • Experience in using Business Intelligence tools
  • Higher education in the field of the subject
  • Knowledge of the English language

Your responsibilities

  • Identification of important data and automation of the data collection process
  • Preprocessing of structured and unstructured data
  • Analysis of large amounts of data to find patterns
  • Creating models and machine learning algorithms
  • Data presentation using visual techniques
  • Building business problem-solving models
  • Cooperation with other departments

Benefits

  • The opportunity to develop and improve your competences within interesting projects
  • Work in a well-coordinated team of specialists in their field
  • Great freedom in making decisions
  • Working with the most modern toolset
  • Team integration events and endless coffee and tea