The Data Science Manager is a member of CEE Data Solutions team based in Warsaw. As a Data Science Manager, you will be accountable for leading the design, implementation and development of analytics tools and reports used for Visa's external clients. In this role, you will collaborate with Global Analytics, Business, and Technology teams across the organization to implement best-in-class services to drive business performance with a clear commercial ‘value’ and measurable ‘return’.

Principal Responsibilities

Designing, developing and implementing analytical solutions for external partners
Regular and bespoke data analysis to provide insights on the performance and highlighting opportunities for growth
Create and deliver powerful business-centric insights from data through better visualization and storyboarding
Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes
Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
Providing subject matter expertise and quality assurance of complex data driven analytic projects
Defining detailed analytic scope and methodology, and creating analytic plan

This is a hybrid position. This requires 3 days per week (Tuesdays, Wednesdays and Thursdays) attendance in the Warsaw office.

Professional Experience:

Minimum of 5 years of analytics expertise in applying statistical solutions to business problems
Graduate/Post Graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
Understanding of Payments and Banking Industry
Good understanding of data, market intelligence, business intelligence
Demonstrated ability to incorporate new techniques to solve business problems
Demonstrated resource planning and delivery skills

Technical Expertise:

Fluency in Python (for Data Science) and SQL is mandatory
Good understanding of Big Data tools (Hadoop, Spark, Hive)
Experience in building statistical models and doing statistical analysis
Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
Ability to solve business problems through data driven quantitative methodologies
Define and design analytic approaches to business problems
Fluency in English

Business Experience:

Results oriented with strong analytical, consultative and problem-solving skills, with demonstrated intellectual and analytical rigor
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
Excellent interpersonal skills to work collaboratively across functions and geographies in a matrix environment
Proven skills in translating analytics output to actionable recommendations, and delivery
Experience in presenting ideas and analysis to stakeholders
Exhibit intellectual curiosity and strive to continually learn.

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.