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  • Middle Data Scientist
    Python

    Middle Data Scientist

    Wrocław
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    Permanent, B2B
    Operating mode
    Hybrid
    LeverX

    LeverX

    LeverX consists of two divisions: LeverX and Emerline. LeverX is an SAP Global Strategic Supplier with 20+ years of close collaboration with SAP. Emerline develops web and mobile solutions for businesses from Western Europe and the USA.

    Company profile

    Tech stack

      Python

      master

      SQL

      master

      PySpark

      advanced

    Job description

    Online interview
    Friendly offer

    LeverX is looking for Middle Data Scientist. Don't miss this exciting opportunity to gain experience working with a global IT partner.


    REQUIREMENTS

    • 3 years experience as a Data Scientist;
    • Great Python coding skills;
    • Hands-on experience with data analysis: probability theory and statistics, table data analysis experience; experience with statistical libs like scipy, statsmodels;
    • Great understanding and proven experience with machine learning (both supervised and unsupervised) classical models and time series methodologies and experience with popular frameworks (sklearn, statsmodels, LightGBM, xgboost, Propet.);
    • Ability to setup MLFlow experiments in DataBricks, handle and maintain them;
    • Experience with reporting and visualization tools and libs (matplotlib, seaborn, plotly, altair, Databricks notebooks, streamlit, etc.);
    • Experience with ML services provided by at least one hyperscaler (AWS , Azure, GCP);
    • Understanding of DataOps and MLOps;
    • Experience working according to Agile practices;
    • Superior communication skills;
    • Upper-Intermediate English.


    A BIG PLUS WOULD BE

    • DataOps, MLOps experience;
    • Knowledge of ClickUP.
    • Experience with Retail data processing


    BENEFITS

    • Working on projects for biggest retailers from US;
    • Full cycle projects;
    • Long term full time employment;
    • Flexible working hours.


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