Data Scientist Skrill & NETELLER

Date: 04-Sep-2022

Location: Sofia, 23, BG, 1784

Company: Paysafe

Paysafe Limited (“Paysafe”) (NYSE: PSFE) (PSFE.WS) is a leading specialised payments platform. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 20 years of online payment experience, an annualised transactional volume of over US $120 billion in 2021, and approximately 3,500 employees located in 10+ countries, Paysafe connects businesses and consumers across 100 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments.


Further information is available at


Paysafe’s Product Analytics team is looking for a Data Scientist - an experienced and hard-working professional, capable of transforming various data inputs into useful insights and actionable goals. The ideal candidate is a person with strong analytical and problem-solving mindset who can work with various data types, apply different data analytics and modeling techniques and keep focus on the big picture and the project end goal.


Before you apply please note that:

  • You need strong mathematical and statistical background as well as practical data related experience
  • A Cover Letter answering the questions below is a must:
    • How important is data driven decision making in a modern company?
    • How would you as a Data Scientist contribute value to company that develops software products for consumers in an agile way?
    • What challenges do you expect and how would you address them?
    • How do you ensure that the data is telling the relevant story if the anecdotes passed around in the trenches are contracting them?


What to expect:

  • Analyze what drives the performance of our consumer wallets Skrill and NETELLER and which areas have the most potential for future improvement and development
  • Identify unaddressed customer pain-points and market opportunities and recommend enhancements and new features, backed by a strong, data-based business case
  • Investigate what drives customer adoption, engagement and retention and understand how customer satisfaction can be increased
  • Estimate the potential impact of future product changes or implementations and analyze their actual performance after release
  • Provide valuable data input around A/B testing or qualitative research initiatives
  • Define KPIs and develop informative dashboards as well as proper monitoring of different business flows
  • Build various automations that support data driven decisioning within the company
  • Enhance the existing database with valuable data points that are currently not stored or structured for analytic purposes
  • Work closely with Customer Service, Software Engineering, Marketing, User Experience, Data Management and Operational teams on various projects requiring data and analytics support


Your Profile:

  • Bachelor’s / Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Business Intelligence, Marketing, Finance or a similar program
  • Technical background and at least 2 years of experience in:
    • Data mining and feature engineering
    • Data analytics and predictive modeling
    • Data programming languages such as Python, R and SQL
    • Statistical software such as SPSS, SAS and MATLAB
  • Good understanding of business intelligence tools such as Google Analytics, Tableau and OBIEE
  • Basic understanding in:
    • End-customer facing products ideally in the financial services industry
    • How data lives within modern system architectures, flows through to the DWH and is transformed for analytical purposes
    • How online and digital products are being developed applying modern agile principles
  • Willingness to learn, research and collaborate. Proactive and result-oriented attitude
  • Excellent interpersonal and communication skills


We offer in return:

  • The opportunity to write the history of a leading and growing multinational company
  • Tailor-made training and ongoing development to help you enhance your skills in the field of online payments
  • Multiple career progression opportunities in a dynamic in-house business
  • Environment where product expertise, professional and personal commitment are rewarded
  • Competitive remuneration and social benefits package (25 days annual paid leave, health insurance, sports card,  team events, company discounts, variety of soft skills, business and technical training programs)
  • Fun and collaborative working atmosphere
  • Flexible working model by combining working from home with office collaboration days



Only shortlisted candidates will be contacted.


Equal Employment Opportunity

Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments, please let us know.  We will be happy to help and look forward to hearing from you.