Advanced Analytics - Data Scientist

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

About the team

U.S. Bank’s Business, Insights, and Performance organization has an opportunity for a Data Analyst/Scientist for Digital Channel Optimization (DCO). This position will conduct statistical analysis and develop and sustain predictive models in support of improved customer experience, operations transformation and reduced operating expenses related to the digital channel.

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. 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 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. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.

This 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.

Basic Qualifications 

- 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.

Preferred/Required Skills/Experience: 

• Formal data science experience and education in a data science-related field.

• Customer contact center or related business line experience needed.

• Business process outsourcing background will be a huge plus

• 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.

• Effective interpersonal, verbal and written communication skills.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

• Healthcare (medical, dental, vision)

• Basic term and optional term life insurance

• Short-term and long-term disability

• Pregnancy disability and parental leave

• 401(k) and employer-funded retirement