Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Senior Managers who are equally passionate about the opportunity to use Visa’s rich data to solve meaningful business problems. You will join one of the Data Science focus areas supporting an internal product and/or function at Visa, with a rotational opportunity within Data Science to gain broad exposure to Visa’s business.

Essential Functions

• Lead a team of analysts within Global Data Science, including project oversight, mentoring, and professional development
• Work with internal and external partners to understand their strategic business questions and lead project scoping and design to answer those questions by using Visa’s data
• Be an out-of-the-box problem solver who is passionate about brainstorming innovative ways to use our unique data to answer business problems
• Connect 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 provide sophisticated analyses accessible to a broad audience
• Find opportunities to craft products out of analyses that are suitable for multiple clients
• Use big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique data set
• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
• 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 efficiency 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, advertising targeting, and other business outcomes
• Develop processes and tools to supervise and analyze model performance and data accuracy
• Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance
• Provide mentorship in modern analytic techniques in keeping with market trends, client needs and emerging techniques
• Coordinate and lead multiple data science projects with diverse multi-functional partners

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications

Basic Qualifications

• 8 years of relevant work experience with a Bachelor’s Degree or at least 5 years

of relevant work experience with an Advanced degree (e.g. Master’s, MBA, JD,
MD) or 2 years of work experience with a PhD degree

Preferred Qualifications

• 9+ years of relevant work experience with a Bachelor’s Degree or 7+ years of

relevant work experience with an Advanced Degree (e.g. Master’s, MBA, JD,

MD) or 3+ years of experience with a PhD

• Minimum of 6+ years of analytical experience in applying solutions to business

problems in relevant fields such as analytics, business consulting, or other

data-driven functions

• Post Graduate degree in quantitative/relevant field such as Statistics,

Operational Research, Computer Science, Economics, Business Analytics, Data

Science, Business Administration, etc.

• Experienced knowledge of databases and engineering concepts with hands on

experience with one or more data analytics/programming tools such as

Hive/R/SQL/Python/SAS

• Experience with extracting and aggregating data from large data sets using

SQL or other tools

• Competence in Excel, PowerPoint and Tableau
• Familiarity or experience with data mining and statistical modeling (e.g.,

regression modeling, clustering techniques, decision trees, etc.) is strongly

preferred

• Experience in managing data science projects from scoping to delivery
• Eloquent communicator able to translate data and technical concepts for a

business audience

• Experience leading project teams and providing direction and thought

leadership

• Previous experience working in credit cards, financial services, banks, or

lending products is strongly preferred
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

• Lead a team of analysts within Global Data Science, including project oversight, mentoring, and professional development
• Work with internal and external partners to understand their strategic business questions and lead project scoping and design to answer those questions by using Visa’s data
• Be an out-of-the-box problem solver who is passionate about brainstorming innovative ways to use our unique data to answer business problems
• Connect 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 provide sophisticated analyses accessible to a broad audience
• Find opportunities to craft products out of analyses that are suitable for multiple clients
• Use big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique data set
• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
• 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 efficiency 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, advertising targeting, and other business outcomes
• Develop processes and tools to supervise and analyze model performance and data accuracy
• Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance
• Provide mentorship in modern analytic techniques in keeping with market trends, client needs and emerging techniques
• Coordinate and lead multiple data science projects with diverse multi-functional partner