Director, Global Data Science

  • Arlington, VA, USA
  • Full-time

Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

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. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business.

The position is based at Visa's offices in Arlington, VA.

Essential Functions

  • Lead a team of analysts within Global 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

  • 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 development of actionable solutions and creation of deliverables that effectively communicate the findings and recommendations

  • Develop Visa’s unique global data assets in order to support other Data Science teams in answering critical questions for business teams. 

  • Measure effectiveness of utilization of data assets and for directing resources towards high potential data sources, knowledge and technology assets.

  • 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. 

 

Qualifications

Basic Qualifications

  • 10 years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or at least 3 years of work experience with a PhD degree

     

Preferred Qualifications

  • 12-15 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

  • Post Graduate degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Business Administration, etc.

     

  • Expert knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python

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

  • Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is strongly preferred

  • Prior experience with Visa or clients of Visa managing analytic applications of payment data is a plus

  • Prior experience with a consulting firm delivery consulting services to financial services clients is a plus

  • Extensive experience in presenting ideas and analysis to various audience levels

  • 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

  • Articulate communicator able to translate data and technical concepts for a business audience

  • Demonstrated ability to innovate solutions to solve business problems

  • Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor

  • Good business acumen with strong ability to solve business problems through industry-leading engineering methodologies. Experience in payment, retail banking, or retail merchant industries is preferred

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

  • Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels

  • Detailed oriented, is expected to ensure highest level of quality/rigor in planning and roadmap development for deliverables

  • Proven skills in translating analytics output to actionable recommendations, and delivery

  • Experience in presenting ideas and analysis to a technical audience

  • Exhibit intellectual curiosity and strive to continually learn

  • Experience with managing project teams and providing direction and thought leadership

Additional Information

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, reach with hands and arms, and bend or lift up to 25 pounds.

Travel

This position requires the incumbent to travel for work 0-20% of the time

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law

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