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.
Requirements
- 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
- Expertise in the application of predictive modeling and machine learning techniques
- Knowledge of big data engineering stack including Hadoop, Spark, Kafka and other related components
Responsibilities
- Lead other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
- 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.
- Define detailed analytic scope and methodology, and create architecture plans for data assets.
Other
- Lead a team of analysts within Data Science, including project oversight, coaching and professional development
- Ability to inspire highest level of quality/rigor/thought leadership in reports & data analysis
- Guide team in development of actionable solutions and creation of deliverables that effectively communicate the findings and recommendations
- 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.
- Experience leading teams of 3+ data scientists
- Track record of leading cross-functional efforts including presenting ideas and analysis to various audience levels
- 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions
- Prior experience with a consulting firm delivery 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 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
- This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
- 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.
