Data 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, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. 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. Try new things, learn new skills and discover what you excel at—all from Day One.
As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

Specific knowledge, skills, or experience required:

• Statistical software: Python, R, Hadoop SAS, SQL, Tableau/Microsoft BI, Predictive analytics, machine learning, data minin

ROLE SUMMARY:

A senior individual contributor who will report to the Analytics Leader with minimal supervision. They are responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data to generate insights and solutions for client services and product enhancement. This work includes predictive analytics. They primarily support the business line functions (24HR, Card Services, Elavon).

ESSENTIAL FUNCTIONS:

• Acquire data from multiple data sources to perform statistical/predictive analysis.
• Implement and validate predictive models as well as create and maintain statistical models with a focus on big data.
• Identify, analyze and interpret trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action.
• Interpret data and analyze results using various advanced statistical techniques and tools.
• Present data and analysis in a clear and concise manner, allowing the audience to quickly understand results and recommendations and make data driven decisions.
• Collaborate with Insights Strategists to prioritize requests/needs.
• Collaborate with various partners to provide a holistic view of the analysis (e.g. CX, EAA, etc.).
• Measure and monitor results of applied recommendations and present adjustments, if necessary.
• Ensure all data acquisition, sharing and results of applied recommendations are compliant with company standards.
• Utilizing models to predict outcomes, these individuals will provide consultation/recommendations to solve problems, optimize processes, improve experiences for customers and employees, etc.
• Provide recommendations related to business objectives.

Specific knowledge, skills, or experience required:

• Statistical software: Python, R, Hadoop SAS, SQL, Tableau/Microsoft BI, Predictive analytics, machine learning, data mining