1+ months

Associate Data Scientist - PayPal

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 286 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.

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Requirements

Job Description Summary

  • Design, develop and implement advanced predictive models using advanced data mining and machine learning techniques.
  • Collaborate with other data scientists and engineers to formulate innovative solutions to experiment and implement advanced data mining techniques
  • Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Hadoop, R, SQL and SAS
  • Analyze data covering a wide range of information from user profile to transaction history. Identify new risk patterns through data mining
  • Communicate complex concepts and the results of the analyses in a clear and effective manner through creative visualization

Job Description

Job Description Summary

  • Design, develop and implement advanced predictive models using advanced data mining and machine learning techniques.
  • Collaborate with other data scientists and engineers to formulate innovative solutions to experiment and implement advanced data mining techniques
  • Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Hadoop, R, SQL and SAS
  • Analyze data covering a wide range of information from user profile to transaction history. Identify new risk patterns through data mining
  • Communicate complex concepts and the results of the analyses in a clear and effective manner through creative visualization

Qualification

  • Advanced degree (MS or PhD) in science or engineering
  • Data Mining experience in Python, R, H2O and/or SAS. Familiar with various Machine Learning algorithms and Statistical methods
  • Ability to deal with a large amount of data and fluency with SQL or SQL-like tools.
  • Strong problem solving and communication skills
  • Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling, and data manipulation.
  • Financial services or eCommerce experience a strong plus

Categories

Posted: 2019-09-27 Expires: 2019-11-26

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Associate Data Scientist - PayPal

PayPal
San Jose, California

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