Paysafe Bulgaria EOOD

Data Scientist Skrill & NETELLER- София
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.

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
One of the top 10 best designed offices in the world
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.
Изисквания към кандидата
Образование: Бакалавър

Езикови познания:

Трудов опит:

Ние предлагаме

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Експертен персонал без ръководни функции

ИТ и Компютърни специалисти
Населено място:
Гр. София
90, Tsarigradsko Shose blvd., 1784 Sofia
Paysafe Bulgaria EOOD
Фирма/Организация Директно търсеща служители
Детайли за организацията:
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