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Job Description:
You will be the data scientist onwhere you will work on leading new projects to build and improve the tools and use of data to inform business decisions. In this position, you will use a variety of methodologies and approaches to strengthen and improve the existing business portfolio, including data exploration and analysis, developing metrics, and building new features through ML, AI or other suitable technologies.
Your day to day
In your day to day role you will -
Collaborate with teams to develop strategies and insights to support fraud prevention, loss impacts, and operational efficiencies.
You will work together with cross-functional teams to deliver solutions and providing analytics and governance over financial and operational metrics.
These solutions will adapt PayPal’s advanced proprietary fraud prevention and experience mechanisms, enabling growth.
What do you need to bring-
4-7 years of relevant experience working with large-scale complex dataset.
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
Strong working knowledge of Excel, SQL and Python/R
Excellent communication skills, equally adept at working with engineers as well as business leaders
Want to build new solutions and invent new approaches to big, ambiguous, critical problems
Our Benefits:
Any general requests for consideration of your skills, please
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