Global Channel Management, Inc
Data Science Analyst r
Data Science Analyst with 5+ years of data analysis and banking experience, building predictive and machine-learning models (regression, clustering, neural networks) and running A/B tests to optimize customer and business outcomes. Works with big-data and cloud tools like Hadoop, Hive, Spark, MySQL, and S3.
- Compensation
- Not disclosed
- Location
- Pasadena, CA, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 5+ years data analysis experience
- Banking experience
- 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
- Digital banking experience
Nice to have
- Experience with programming languages such as Java/Python or R
Full description
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