The Data Science Manager will support the strategy team in Europe. As a member of the data science team, you will need to understand tactical and strategic objectives of the strategy team, identify ways to support the team by creating data science solutions, and deliver them.

Take the next step in your career now, scroll down to read the full role description and make your application.This role reports to the Strategy Data Science lead and involves collaboration with various Visa departments to understand their requirements and create data-driven solutions.Responsibilities

Evangelizes the creative use of data science to solve business problems for our internal functions (e.g., Marketing, Product, Strategy, etc.). This role will mainly support the strategy team.Works with internal teams to drive data science business development opportunities across the organization.Identifies how data science and predictive techniques can be used to enhance client profitability, card, and payments portfolio management across acquisition, usage, and retention.Works with our internal teams on conducting VisaNet data analysis on key metrics to articulate solutions.Creates and delivers powerful business-centric insights from data through better visualization and storyboarding.Collaborates with internal partners to fully understand business requirements and desired business outcomes.Defines detailed analytic scope and methodology, and creates analytic plans.Executes on the analytic plans with appropriate data mining and statistical techniques.Ensures project delivery within timelines and budget requirements.Ensures all project documentation is up to date and all projects are reviewed per analytic plan.Enhances existing solutions and approaches by promoting new methodology and best practices in the data science field.What we’re after…

Graduate/Post Graduate degree (e.g., Master’s or Ph.D.) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering, or equivalent experience.Results-oriented with strong analytical, consultative, and problem-solving skills, with demonstrated intellectual and analytical rigor.Hands-on experience with modern distributed systems, including both Hadoop/SQL and Apache Spark.Hands-on experience with one or more data analytics/programming tools such as R/Python.Experience in the application of predictive modeling and machine learning techniques to business problems.Preferred Qualifications

Experience working in the payments industry (bank, credit reference agencies, Fintech) or management consulting firm.Hands-on experience processing extremely large data sets. Knowledge of payment network transactional data is a plus.Team-oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data-driven results to various audience levels.Proven skills in translating analytics output to actionable recommendations and delivery.Fluency in English.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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