Data Analytics/Scientist

at  US Bank National Association

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

We are seeking a skilled and experienced data analyst with experience in Data Science to join our Credit Cards Marketing Analysis team. The ideal candidate will possess a strong background in model development, segmentation strategies and analytics within the credit card industry. The candidate will be part of a team developing and implementing cutting-edge models and tools and working closely with the audience and analytics team to provide insights to drive actionable marketing strategies in digital as well as offline space.

BASIC QUALIFICATIONS

• Bachelor’s degree in a related field, or equivalent work experience
• Six to eight years of statistical and/or data analytics experience

PREFERRED SKILLS/EXPERIENCE

• The qualified candidate must have experience in end-to-end data science projects, from problem formulation and data exploration to modeling and deployment.
• Working with business requirements and delivering data-driven solutions; Machine Learning Frameworks
• Working with: SAS, Python, R, SQL, in banking industry for model development; Customer Segmentation using Classification and Clustering Techniques, Adhering to Data Governance while developing data science models.
• Digital experience strongly preferred.

KEY RESPONSIBILITIES INCLUDE:

• Development and implementation of advanced analytics approaches including statistical modelling and machine learning techniques.

• Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line across the range of analytics initiatives- Customer Acquisition, Credit Behavior, Cross-Sell / Upgrade Propensity Models, Customer Lifetime Value.

• Digital and Offline Analytics: Utilize data analytics techniques to analyze both digital and offline customer interactions and campaign performance.

• Display strong storytelling and articulation skills to convert complex analytical output into clear, concise insights across a breadth of audience.

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 OF THE LOCATION FOR THE OTHER DAYS.

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.

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 plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by la