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Data Science Manager

3 days ago Warsaw, Poland

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Responsibilities:

  • Evangelizes the creative use of data analytics to explore large data sets and summarise results
  • Works with VBEI Data Scientists to drive data science business development opportunities and new data products
  • Build data dashboards for presenting insights and data products to key stakeholders
  • Create and deliver powerful business-centric insights from data through visualization and storyboarding 
  • Collaborating with the internal partners to fully understand business requirements and desired business outcomes  
  • Execution proficiency in handling multiple medium data analytics projects along with rest of the stakeholders in the project team 
  • Defining detailed analytic scope and methodology, and creating analytic/approach plans 
  • Executing on the analytic plans with appropriate data mining and statistical techniques  
  • Ensuring project delivery within timelines
  • Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
  • Providing subject matter expertise and quality assurance of complex data analytics projects 
  • Automating processes/codes
  • Familiarising yourself with new tools/software/techniques

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

Qualifications

Basic Qualifications:

  • Strong passion for working with complex data sets and tackling quantitative problems
  • Experience in data analytics and data visualisation
  • Graduate degree (Masters) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
  • Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
  • Hands-on experience with one or more data analytics/programming tools such as R/Python
  • Hands-on experience with SQL databases
  • Experience in the application of analytics technique to business problems
  • Ability to communicate the results of projects to both technical and business audiences
  • Full professional proficiency in English and Polish


Preferred Qualifications:

  • Experience with distributed computing in Apache Spark is a plus
  • Experience with dashboarding tools such as PowerBI/Tableau is a plus
  • Relevant degree in data analytics, statistics, mathematics etc.
  • Passion in processing and summarising 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

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.

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Client-provided location(s): Warsaw, Poland
Job ID: 43705ad2-1cc7-4b38-a009-5eb1c5ef2147
Employment Type: OTHER
Posted: 2025-12-03T10:54:28

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)