DATA SCIENTIST

Angajator: RIAN&Partners
Domeniu:
  • IT Hardware
  • IT Software
  • Tip job: full-time
    Nivel job: 1 - 5 ani experienta
    Orase:
  • BUCURESTI
  • Actualizat la: 12.07.2019
    Scurta descriere a companiei

    RIAN&Partners is a new, fresh concept in the recruitment and selection process of personnel, personnel training & organizational development.

    RIAN&Partners combines, in an intelligent and friendly manner, over 30 years of our partners’ previous experience in the HR management for the industrial environment with passion and determination – patterns engraved to every assigned project.

    Integrity and high professional ethics are the core values we believe in, values that have settled their home at RIAN&Partners. Moreover, we believe wholeheartedly in optimism, flexibility and ‘’out of the box’’ solutions. That’s who we are!

    Cerinte

    •Advanced knowledge of mathematical & statistics notions such as distributions, regression, statistical testing, etc
    •Experience in machine learning techniques and algorithms (e.g. decision trees, clusters);
    •Advanced programming skills, preferably in Python, R, Spss, SAS, Mlab;
    •Experience querying databases with SQL;
    •Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark;
    •Experience in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees etc.
    •Experience visualizing/presenting data for stakeholders using: PowerBI, Spotfire, Tableau, etc.
    •Experience with data visualization tools/libraries (ggplot, matplotlib, seaborn);
    •Strong analytical and communication skills;
    •Curiosity to dive through large amounts of data and find valuable insights;
    •Willingness and ability to learn new mathematical and/or technical methods;
    •Ability to work independently, in a team and/or across teams.

    Responsabilitati

    •Responsible for verifying data integrity, clean and process data used for analysis;
    •Responsible for the featuring selection, feature engineering, fine-tune machine learning models’ parameter, applying already built classifiers;
    •Performs ad-hoc analysis and presents the results in a clear/story telling manner;
    •Responsible for developing a company testing framework and test model quality;
    •Responsible for collaborating with different functional teams (Agile mode) to implement models and monitor outcomes;
    •Responsible for developing the processes and tools to monitor and analyze the model’s performance and data accuracy;
    •Responsible for performing an in-depth analysis of information from multiple data sources (customer research surveys, sales & marketing data, macro-economic indicators) to provide data-driven business insights leading to improved business results;
    •Responsible for providing recommendations.