Data Scientist - Data & Advanced Analytics Team

We are hiring an awesome Data Scientist for our Data & Advanced Analytics Team!

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

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.