Sr. Manager, Data Science

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 extraordinarily rich data set that spans more than 3 billion cards globally and captures 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 Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.   

Essential Functions 

• Lead a team of analysts within North American Data Science, including project oversight, coaching and professional development 
• Work with internal/external clients to understand their strategic business questions and lead project scoping/design to answer those questions by leveraging Visa’s data 
• Develop propensity, segmentation and other predictive models to drive business impact 
• Proactively engage with clients and Visa client leadership in regular strategic & planning discussions cultivate and manage a pipeline of work with clients 
• Develop frameworks, approaches, solutions and recommendations that effectively and efficiently address the most impactful opportunities and challenges. 
• Produce insights and analyses to improve client performance, drive understanding of client issues and provide strategic guidance for client priorities across the payment P&L 
• Ideal candidate will have payments and management consulting experience. 
• Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance 
• 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 
• Ability to influence and negotiate with senior executives 

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

Qualifications

Basic Qualification

• 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
• Experience leading teams of data scientists in machine learning projects
• Hands-on expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark
• Hands-on expertise with one or more data analytics/programming tools such as Python
• Hands-on expertise in the application of predictive modeling and machine learning techniques

Preferred Qualification

• 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
• 3+ years of working in payments industry (bank, credit union, Fintech) or management-consulting firm
• Demonstrated knowledge of software development, MLOps or data productdevelopment
• Excellent communication, story-telling and presentation skills.
• Competence in Excel, PowerPoint and Tableau

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 employm