Data Scientist
Warsaw, Poland
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany 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
The Data Scientist is a member of CEE Data Science Lab team based in Warsaw. As a Data Scientist, you will be accountable for leading the design, development and implementation of analytics driven strategies and solutions for our internal and external clients. In this role, you will collaborate with Global Analytics, Business, and Technology teams across the organization to implement best-in-class solutions to drive business performance with a clear commercial ‘value’ and measurable ‘return’.
What we expect of you, day to day.
- An analytics expert in designing, developing and implementing best in class databased solutions
- 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
- Execution proficiency in handing multiple medium to large analytic projects along with rest of the stakeholders in the Analytics team
- Defining detailed analytic scope and methodology, and creating analytic plan
- Executing on the analytic plan with appropriate data mining and analytic techniques
- Performing quality assurance on data and deliverables by analysts and own deliverables
- Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
- Ensuring project delivery within timelines and budget requirements
- Building on team’s analytical skills and business knowledge
- 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
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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Professional Experience
- Minimum of 3 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
- Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
- Demonstrated ability to incorporate new techniques to solve business problems
- Demonstrated resource planning and delivery skills
Technical Expertise
- Proficiency and continuous skills development in analytic and business intelligence tools, e.g. SQL, R, Python, Tableau, PowerBI. Experience in Hadoop framework including Hive is an advantage
Additional Information
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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Business Intelligence Computer Science Data Mining Economics Engineering Hadoop Mathematics Power BI Python R Research SQL Statistics Tableau
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