Director Data Science

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 North America 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 Data Science, including project oversight, coaching and professional development

Lead other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis

Ability to inspire highest level of quality/rigor/thought leadership in reports & data analysis

Guide team in the development of actionable solutions and creation of deliverables that effectively communicate the findings and recommendations

Leverage 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

Lead development of assets supporting scalable analytic approaches capable of being leveraged by data scientists globally

Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential

Evangelize new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions

Utilize Hadoop, and related query engines, such as Hive and Impala, to perform advanced data mining

Research industry metrics and business context and bring this context to bear in analyses

Find opportunities to create and automate repeatable analyses or build self-service tools for business users

Direct the execution of medium to large analytic projects based on business requirements and desired business outcomes

Define detailed analytic scope and methodology, and create architecture plans for data assets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

10 or more years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications

12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD

Minimum of 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions

Advanced knowledge of databases and engineering concepts with hands-on experience with one or more data analytics/programming tools such as Hive/SQL/Spark/Python

Experience leading teams of 3+ data scientists

Expertise in the application of predictive modeling and machine learning techniques

Track record of leading cross-functional efforts including presenting ideas and analysis to various audience levels

Knowledge of big data engineering stack including Hadoop, Spark, Kafka, and other related components

Prior experience with a consulting firm delivering consulting services to financial services clients

Demonstrated experience in planning, organizing, and managing multiple cross-functional projects with diverse cross-functional stakeholders

Good business acumen to orient data analysis to the business needs of clients

Understanding of Cards/Payments and Banking business model would be a plus

Experience with managing project teams and providing direction and thought leadership

Additional Information

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.

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