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Data Scientist 
San Jose, California

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 305 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.
Job Description
In your role as a Lead Data-Scientist, you will:
  • Work with partners to translate business challenges into Data Science problems
  • Mine data and extract information in PayPal’s Big (!) Data environment
  • Leverage Machine Learning algorithms to solve real-life problems
  • Work with engineers and product managers to develop and deliver E2E data science driven solutions that bring real business value
  • Analyze various kinds of data to conclude actionable insights
  • Carry out independent research and innovation in new content, ML and technological domains, while supporting existing projects
Basic Qualifications
About You
  • Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.
  • 1-2 years Product/Marketing data science work experience
  • Code writing capability in any programming language (Python, R, Java, Scala, etc.) and familiarity with relevant ML packages
  • Hadoop experience (PIG, Hive, Spark)
  • Strong analytical skills
  • Excellent spoken and written English
  • Team worker, responsible, delivery-oriented
面
试
1)  What do you know about Central Limit Theorem? Can you prove CLT? Applications?

2) If you know for certain that a friend of yours has 2 children and that atleast one of them is a boy, what is the probability that the other is also a boy?
3) If you merge 2 datasets in SAS without BY statement, how would the resultant output be?  
信息来源：
    https://paypal.com
https://www.glassdoor.com
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