- Design & development of analytical projects designed to understand key business behaviors that drive customers acquisition, retention and engagement through machine learning and/or statistical modelling
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Mine and analyze data from company databases or other data souce to drive optimization and improvement of product development, marketing techniques and business strategies.
- Develop customs algorythms to be applied to existing datasets
- Minimum 3 years in the same field
- Bachelor Degree from Statistical major / mathematic
- Familiar with R, Phyton
- Coding ability is an advantage (ie. Java, C++, etc)
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. will be an advantage
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc
- attach your portfolio also in your CV
- S2 data scientist
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