Data Science Analyst

Data Science Analyst needs 5+ years’ data analysis, banking experience

Data Science Analyst requires:

 Practical experience with ETL, data processing, database programming and data analytics

 Extensive background in data mining and statistical analysis

 Able to understand various data structures and common methods in data transformation

 Excellent pattern recognition and predictive modeling skills

 Experience with programming languages such as Java/Python or R an asset

 Digital banking

Data Science Analyst duties:

 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

 Develop and execute upon data A/B testing framework and test model quality.

 Coordinate with different functional teams to implement models and monitor outcomes.

 Create and use advanced machine learning algorithms and statistics: regression, distributions, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

 Work to analyze data from a wide variety of 3rd party data providers: Google Analytics, Adwords, Adobe, etc.

 Use distributed data/computing tools to achieve business results: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

 Work with cloud and distributed computing architectures, and data providers, e.g S3, Spark, DigitalOcean, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL