About PayU

PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers.

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day.

Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here

Responsibilities

· Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.

· Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.

· Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media.

· Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.

· Extending company’s data with third party sources of information when needed

· Creating automated anomaly detection systems and constant tracking of its performance

· Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented

Skills and Qualifications

· Bachelors in engineering, mathematics, statistics , economics or a related field.

· 2+ years of work experience as a Data scientist preferably in a fintech environment

· Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

· Proficient in machine learning (SVM, GLM, boosting, random forest) and deep neural networks

· Strong programming skills (Spark or other big data frameworks, R, Python), statistical modeling (R, Python, SAS), query languages such as SQL

· Working on Big Data to develop analytical solutions

· Enable machine learning algorithms on graph databases

· Working on cutting-edge techniques e.g. machine learning and deep learning models

· Guide and enable junior team members

· Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented

Add-on Skills :

Experience in working with big data

Solid coding practices

Passion for building new tools/algorithms

Experience in developing Machine Learning models

Behavioral Skills:

Team Player

Perseverance

Knowledge sharing skills

Energetic & Positive attitude

Go getter instinct

So what do we offer?

Opportunity to work on exceptional projects using cutting edge technology in big data environment

A Competitive salary, including benefits

Modern offices with individual working spaces

Awesome teams that love finding ways of making things better, faster, stronger

Interesting growth prospects

About us:

At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com

Our Commitment To Building A Diverse And Inclusive Workforce

As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.

Data Scientist

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