Posted On 18 October

  • Data Scientist

    • Company DeFacto
    • No. of Openings 10+
    • Salary Not Disclosed
    • Work Type hybrid

    Job Description :

    A Happiness Manager and a team which care about, solely work for your happiness…

    In other words +1 happiness!

    A healthy life with a permanent sports trainer, fitness center and a quality life consultant…

    In other words +1 health!If you fulfill the qualifications and basic functions, then come and

    Join DeFacto, come and bring +1 value to your life as well as ours and let’s Sprint to Future together!

     

    Qualifications:

    • Bachelor’s degree in Computer Engineering, Mathematics, Statistics, Management Information Systems or other relevant departments,

    • At least two years experience in relevant positions (four years for senior position)

    • Excellent SQL and Python skills

    • Demonstrated experience in variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, NLP models etc.)

    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

    • Ability to extract insights from data and present to all stakeholders

    • Having problem solving skills and an analytical mindset

    • Good command of English

     

    Preferred Qualifications:

    • Experience with data visualization tools (Power BI preferred)

    • Experience in ETL/SSIS/SSRS

    • Experience with GCP, BigQuery and web/app analytics data

    • Experience in MLOps – deployment processes

     

    Job Description:

    • Extracting usable data from valuable data sources

    • Using machine learning tools to select features, create and optimize classifiers

    • Carrying out preprocessing of structured and unstructured data

    • Developing data products using prediction systems, forecast models and machine learning algorithms

    • Collaborating with Data Engineers, Data Analysts and Growth Analysts to improve analytics processes throughout the organization

    • Supporting Data Analysts in ad-hoc data analyses

    Information

    • HR Name :Human Resource
    • HR Email :info@defacto-project.eu
    • HR Phone :44 7917 901026
Top