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
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