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Challenges And Key Requirements For Data Scientists

Author

Listed:
  • Olga Marinova

    (University of Economics – Varna)

  • Snezhana Sulova

    (University of Economics – Varna)

Abstract

Currently, the digital transformation of business and the increased volumes of data require new and specific ways of organizing, managing and analysing data. Working with big data poses several challenges to analysts. Regarding this matter, the aim of the paper is to highlight the key skills needed for data science professionals, which this new and constantly evolving field requires. Technical skills are not the only important ones here, abilities such as analytical thinking and application of creativity, innovation, and inquisitiveness to the execution of work tasks are even more significant. The paper shows the main challenges data science experts face and how their skills are important for the transformation of business problems into working solutions with business value.

Suggested Citation

  • Olga Marinova & Snezhana Sulova, 2021. "Challenges And Key Requirements For Data Scientists," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 44-51.
    • Handle: RePEc:vrn:hrmsnr:y:2021:i:1:p:44-51
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    File URL: http://conference.ue-varna.bg/hrm/wp-content/uploads/Proceedings/Papers2021/Marinova-Sulova.pdf
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    Citations

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    Cited by:

    1. Radka Nacheva & Velina Koleva, 2022. "Exploring Gender Pay Gap In The It Sector," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 210-224.

    More about this item

    Keywords

    Data Science; Data Scientists; Key Requirements; Data Science; Data Science Challenges;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics

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