Data Scientist - Visa, Consulting & Analytics

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.

If you think you could join Visa as a Data Scientist, we want to hear from you – together, let’s make Visa a great place to work.

What’s it all about?

The Data Scientist, is a key member of the Data Science and acts as an expert across Product and several key functions in the organisation. We are seeking strategic and analytical thinkers to support data driven strategies in support of Product and market growth scorecard targets whilst help raising the data maturity/ democratisation/ self-serve capability across the organisation. The role will be accountable for leading the development and delivery of analytics driven capabilities to business partners to accelerate the delivery of Visa’s market and client growth strategies of Visa Products and Value Add Services

What we expect of you, day to day

• Experienced practitioner of data science, analytics and insight to internal clients/ ‘Visa-as-a-client’ supporting functional business areas to achieve their Product and market growth scorecard targets
• An active member of the Data Science team in supporting building the team brand internally and championing data skills across the team
• Solves business problems applying his/her technical and business knowledge and provides subject matter expertise and quality assurance of complex data science projects
• Manage all aspects of data science projects lifecycle within planned timelines as an individual contributor and coaching others to achieve best practice project discipline (including documentation (MRM), QA, and data governance and privacy policies)
• Create and deliver action orientated business-centric insights from data through better visualization and storyboarding
• Active member of the Visa Data Science community by sharing best practices and new methodologies
• Contribute to innovative solutions, build prototypes and IP to business questions using statistical / machine learning / artificial intelligence algorithms

What we’re after…

• Current hands-on experience in:
  • Data science and analytical functions working flexibly as an individual contributor with some experience as a team leader preferable
  • Processing extremely large data sets and knowledge of payment network transactional data preferable
  • Payments (physical and digital), retail banking, retail merchant industries
• Ability to establish effective relationships and project delivery with internal clients
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to communicate and tailor data driven results to key stakeholders and wider audiences
• Results oriented with very strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor

Technical Experience

• The ideal candidate holds an advanced degree (or equivalent) in a quantitative field such as data science, statistics, mathematics, or engineering
• Experience in advanced analytics / data science techniques / machine learning tools:
  • Descriptive and predictive modelling
  • Manipulating large data sets and data quality cleansing techniques
  • Modern distributed systems including Hadoop/SQL and Apache Spark (ANSI/Hive)
  • Data analytics/ programming tools such as Python/R/Spark
  • Design and build complex outputs in simple dashboards, reports, and visualizations

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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

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.