Data Science Manager

Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Job Description
As a Data Science Manager, you are a key member of Visa’s advisory service Visa Consulting & Analytics (VCA) and part of Visa’s global Data Science community. You are accountable for leading the blueprint, development and delivery of data driven strategies and solutions for Visa’s external clients in the Nordics & Baltics Region. In this role, you collaborate with management consultants, account executives, business development and other internal functions to support our clients’ with their most pressing issues and biggest opportunities. Your innovative and scalable data science solutions help drive business performance with a clear commercial ‘value’ and measurable ‘return’.
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.
Qualifications
Basic Qualifications
• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering


Preferred Qualifications
• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Extensive experience in data science and analytical functions
• Team oriented, collaborative, diplomatic, and agile working style
• Proven skills in translating analytics output to actionable recommendations and delivery
• 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 descriptive analytics, predictive modelling and machine learning technique to business problems
• Experience planning, organizing, and managing end to end projects with diverse cross-functional teams
• Ability to tailor data-driven results and communicate with impact to various audience levels, incl. senior business leaders. Experience of having worked in a consulting-like environment and client-facing project roles
• Full working proficiency in Swedish and English