Data Scientist
Bitdefender
Bucuresti, Romania
5 zile în urmă

Are you interested in working for a growing company? Bitdefender is one of the market leading antivirus engines used by over 500+ million users.

Our technology has been named Product of the Year by several internationally recognized testing organizations.

Responsibilities :

  • Verify data integrity, clean and process data used for analysis;
  • Feature selection, feature engineering ,fine tune machine learning models' parameter, apply already built classifiers;
  • Develop custom data models and algorithms to apply to data sets;
  • Use predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes;
  • Perform ad-hoc analysis and present results in a clear / story telling manner;
  • Develop company A / B testing framework and test model quality;
  • Coordinate with different functional teams to implement models and monitor outcomes;
  • Develop processes and tools to monitor and analyze the model's performance and data accuracy;
  • Perform in-depth analysis of information from multiple data sources to provide data driven business insights leading to improved business results.
  • Provide recommendations.

    Education :

  • Bachelor / Master's degree in Computer Science, Statistics, Engineering or related fields.
  • Requirements :

  • Basic knowledge of statistics notions such as distributions, regression, statistical testing, etc.
  • Basic knowledge of machine learning techniques and algorithms (e.g. decision trees, k-NN, Naive Bayes);
  • Basic programming skills, preferably in Python, Matlab or R;
  • Experience querying databases with SQL;
  • 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.
  • Nice to have

  • Experience with data visualization tools / libraries (ggplot, matplotlib, seaborn, Bokeh);
  • 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, Tableau, etc;
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