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Data Science Analyst

AT Visa
Visa

Data Science Analyst

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

What's it all about? 


As a Data Scientist, you will be an integral part of the team driving data innovations for the Visa Consulting & Analytics team and our external partners. This role involves working with various departments within Visa and our clients, helping understand their needs and contributing to the execution of data-driven solutions.

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What we expect of you day-to-day

 

  • Contribute to the improvement of data products to enhance activation and usage.
  • Work alongside data product sales specialists and consultants in engaging with clients.
  • Support the development of collateral to facilitate cluster sales.
  • Assist in understanding the needs of clients and contribute to the development of data-driven solutions.
  • Support the technical product management for refining and hardening cluster-based solutions.
  • Ensure the quality and accuracy of data science outputs.
  • Participate in the development and refinement of new solution ideas catering to a diverse range of clients.
  • Collaborate in the prioritization of new solution development, working closely with key stakeholders.
  • Contribute to the development of proof of value, including business case simulations.
  • Collaborate with other team members for solution testing within clusters.

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

  • Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience in role in data science
  • Strong experience with data science tools and programming languages such as Python, R, or SQL.
  • Experience with payments data is highly desirable.
  • Excellent client-facing and communication skills.
  • Strong problem-solving skills and analytical thinking.
  • Ability to work in a fast-paced, deadline-driven environment.
  • Fluency in English

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.

Client-provided location(s): Warsaw, Poland
Job ID: 25044f05-5492-4ebf-b68d-b43f6f28d1ea
Employment Type: Other

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)