Sr. Data Scientist

Visa U.S.A. Inc., a Visa Inc. company, needs a Sr. Data Scientist (multiple openings) in Highlands Ranch, CO to

• Provide technical leadership in a team that generates business insights based on big data, identify actionable recommendations and communicate the findings to clients.
• Brainstorm innovative ways to use our unique data to answer business problems.
• Communicate with clients to understand the challenges they face and convince them with data.
• Extract and understand data to form an opinion on how to best help our clients and derive relevant insights.
• Develop visualizations to make your complex analyses accessible to a broad audience.
• Find opportunities to craft products out of analyses that are suitable for multiple clients.
• Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights and other business outcomes.
• Partner with a variety of Visa teams to provide comprehensive solutions.
• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders.
• Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques.
• Organize and manage multiple data science projects with diverse cross-functional stakeholders.
• Position reports to the Highlands Ranch, Colorado office and may allow for partial telecommuting.

Requirements

Basic Qualifications:

• Employer will accept a Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Business Analytics, Computer Science or closely related field.
• Position requires experience in the following through academic coursework and/or work experience:
• Extracting and aggregating data from large data sets using tools such as SQL or similar;
• Understanding and analyzing data using statistical software including Python, SAS, R, Stata or similar;
• Data visualization with tools such as Tableau and Power BI; and
• Statistical modeling (time-series analysis, clustering analysis, predictive modeling, etc.) on data sets to solve business problems.