Senior Data Scientist - Marketing Analytics

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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

• A degree in Statistics,Engineering,Mathematics or other similar quantitative field
• 5 to 7 years work experience as a Data scientist in banking/consumer lending industry or consumer behavior/marketing Analytics domain
• Hands on experience with ML/programming tools such as Python, R, and SQL
• Proficiency in some of the following statistical techniques: Logistic Regression, CART based models, SVM, Clustering/Segmentatsion, PCA, Graph Analytics etc
• Experience in end to end production level ML based solution (requirement gathering, model development, scorecard development, documentation, testing, implementation, and automation) is a must
• Understanding of credit bureaus and non-traditional data providers will be a plus
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
• Detailed oriented, is expected to ensure highest level of quality in reports & analysis
• Experience in presenting ideas and analysis to stakeholders
• Exhibit intellectual curiosity and strive to continually learn
• Should be a great teammate who promotesknowledge-sharing