U.S. Bank is looking to improve customer experience, operations transformation, and reduce operating expenses related to the digital channel by conducting statistical analysis and developing predictive models.
Requirements
Formal data science experience and education in a data science-related field.
Experience in Python, SAS or SQL for data extraction, data mining, and predictive analytics.
Experience with digital optimization and transformation preferred.
Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets.
Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization.
Understanding of machine learning techniques and algorithms.
Demonstrated project management skills.
Responsibilities
Responsible for analytics projects that gather and integrate large volumes of data from multiple sources.
Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action.
Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions.
Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to perform analysis and generate insights and solutions for client services and product enhancement.
Creates and maintains statistical models as well as implements and validates predictive models leveraging big data sources.
Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis.
Measures and monitors results of applied recommendations and present adjustments.
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.
The role does not support a visa sponsorship.
The role offers a hybrid/flexible schedule, which means there’s an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days at one of the posted locations.
