Sr. Manager, Data Science at – Atlanta, GA,

Sr. Manager, Data Science at Visa – Atlanta, GA, United States 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.

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  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.

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

Work Hours: Varies upon the needs of the department.

Travel…