Sr. Manager, Data Science

To ensure that Visas payment technology is truly available to everyone everywhere requires the success of our key bank or merchant partners and internal business units. The Internal AI & Data Science Group 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 Visas 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 Visas business.

Essential Functions

• Work with internal partners to understand their strategic business questions and lead project scoping and design to answer those questions by using Visas data
• Be an outofthebox 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 cuttingedge data mining techniques provide thought leadership in analytic techniques and business applications to unlock the value of Visas 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 multifunctional partners

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications :

Basic Qualifications
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD

Preferred Qualifications
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 3 or more 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 datadriven 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
Familiarity or experience with data visualization techniques and applications
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
Previous experience with product valuations financial engineering customer lifetime values or net present value methodologies

Additional Information :

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 510% 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.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 148300 to 253200 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.

Remote Work :

No

Employment Type :

Fulltime