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The Data Solutions � Implementation and Scaling (DSIS) team sits within the Europe Data Solutions Organization and is responsible for the technical design, implementation and scaled delivery of standardized Visa Consulting & Analytics (VCA) solutions across all European markets. As a Data Science Manager within the DSIS team, you will work with stakeholders to create and deliver data-driven solutions that can be efficiently delivered to clients on a continuous basis.

Principal Responsibilities

• Drive automation of data solutions to enable efficient and repeatability revenue for VCA including:
  • Building and documenting data pipelines to prepare shared data assets for the team
  • Designing and developing visualizations and dashboards to communicate insights and client recommendations
  • Automating reproducible data extracts for client delivery
• Develop scaled methodologies that derive meaningful recommendations from data involving:
  • Advanced analytics
  • Customer segmentations
  • Predictive models
  • Client portfolio performance measurements
  • Data policy compliance requirements
• Work with VCA data scientists and consultants across Europe to support data science business development across key accounts to meet VCA revenue targets
• Promote the creative use of data science to solve business problems
• Create and deliver powerful business-centric insights from data through insightful visualization and storyboarding
• Collaborate with stakeholders to fully understand business requirements and desired business outcomes
• Handle multiple medium and long-term projects along with the rest of the team and stakeholders
• Define detailed analytic scope, methodology, and project plans
• Execute on project plans using appropriate methodologies/techniques
• Ensure project delivery within timelines and budget requirements
• Enhance existing data science solutions to incorporate new requirements or best practices
• Apply best practices to develop reproducible analytic pipelines
• Provide subject matter expertise to stakeholders

• Experience working in the data science, data engineering or analytics profession
• Graduate or post graduate degree (or equivalent experience) in a quantitative field such as statistics, computer science, mathematics, engineering, operational research, economics, etc
• Experience working in the payments industry (e.g. financial institutions, credit reference agencies, payment processors)
• Hands on experience working with extremely large data sets
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Results oriented with strong analytical, consultative and problem-solving skills, with demonstrated intellectual and analytical rigor
• Experience planning, organizing, and managing end to end projects with diverse cross-functional teams
• Proven skills in translating analytics output to actionable recommendations
• Hands-on experience with modern distributed systems, including both Hadoop, Hive/SQL and Apache Spark
• Proficiency in creating reproducible analytic pipelines
• One or more data analytics/programming tools such as Python and R
• Proficiency with version control systems like (e.g. git, GitHub, etc)
• Data visualization using Tableau, Power BI or R/Python

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