DATA SCIENTIST

We are RIAN & Partners, a 100% Romanian concept – recruitment agency and we provide specialized human resources management services within the industrial field.

Our goal is clear and simple: to improve every recruitment and organizational development processes. We support ambitious businesses to find the proper human capital for their development plans. We offer guidance to dynamic candidates in order to find their dream job.

•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.

•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.