At U.S. Bank, the business problem is to gather and integrate large volumes of data to generate insights and solutions for client services and product enhancement.
Requirements
- Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
- Understanding of machine learning techniques and algorithms
- Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
- Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
- 1-3 years of relevant experience in ML model development and validation ideally within financial services
- Demonstrated project management skills
- Experience with big data
Responsibilities
- Responsible for big data/analytics projects that gather and integrate large volumes of data
- Developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources
- Acquires data from multiple data sources to perform analysis
- Implements and validates predictive models as well as create and maintain statistical models with a focus on big data
- Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions
- Interprets data and analyzes results using various advanced statistical techniques and tools
- Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations
Other
- Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
- Four to six years of relevant experience
- Effective interpersonal, verbal and written communication skills
- This position is not eligible for visa sponsorship
- Must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct
