PayPal | Hiring | Data Scientist 2 | BigDataKB.com | 2022-09-16

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Job Location: Bangalore/Bengaluru

Your day to day:

  • Day-to-day duties include data analysis, monitoring and forecasting, creating the risk decision logic using BigData/Hadoop tools and implementing risk rules/ strategies using Analytics techniques such as Decision Tree, providing requirements to AI/ML modeling and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets.

What do you need to bring

  • Strong analytical skills: ability to build quick estimates using back-of-the-envelope analysis, structure (and, if needed, execute) more complex analyses, pull together business cases and forecasts to navigate through multi-dimensional sets of trade-offs. Experience in Payment fraud / risk analytics is an advantage.
  • Enthusiasm for data-driven problem solving within a fast-paced environment is a must. In addition, experience with Microsoft Excel or statistical software, working knowledge of SQL/ BigData/Hadoop, and hands-on experience in Analytics techniques involving large data sets such as Decision Tree, AI/ ML techniques, etc. Knowledge of Hadoop is must.
  • Polished communication skills: risk analysts need to collaborate cross-functionally with product managers, data scientists, business owners, and customers to learn from subject-matter experts, present findings in a clear and concise manner, and reach alignment on how to execute risk strategies.
  • Education: Graduate degree from good colleges with 3-6 years of experience

Apply Here

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