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 Originally posted on Himalayas