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Data Scientist in San Jose at PayPal

Date Posted: 2/13/2020

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    San Jose
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    2/13/2020
  • Job ID:
    R0052348

Job Description

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.

• Design, develop and implement advanced predictive models using advanced machine learning techniques inlcluding neural network, and tree-based models . • Collaborate with other data scientists and engineers to formulate innovative solutions to experiment and implement advanced data mining techniques • Being able to work with large volumes of data; including extracting and analyzing big data using high-level languages such as Python, SQL, Pig, Hive, R. • Communicate complex concepts and the results of the analyses in a clear and effective manner through creative visualization

PayPal’s Global Data Sciences team is responsible for developing and enhancing machine learning capabilities, which are key in PayPal’s top-of-the-line data-driven decisions. We are a group of data scientists and problem solvers with strong analytical, mathematical, and programming skills and like to approach various kinds of challenges in complex environments. This role offers a unique opportunity to innovate and improve PayPal’s Data Science capabilities for fraud detection problems

•    Design, develop and implement advanced predictive models using advanced machine learning techniques inlcluding neural network, and tree-based models .
•     Collaborate with other data scientists and engineers to formulate innovative solutions to experiment and implement advanced data mining techniques
•    Being able to work with large volumes of data; including extracting and analyzing big data using high-level languages such as Python, SQL, Pig, Hive, R.
•    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 field. Level will be determined based on experience.
•         Expertise in developing neural network and tree-based models required.
•         Machine learning experience in Python, Java, R, Scala and/or other Big Data techniques. 
•         Ability to deal with a large amount of data and fluency with SQL or SQL-like tools
•         Strong problem solving and clear communication skills
•         Passion in working on big data and professional experience in machine learning, statistical analysis, predictive modeling, and data manipulation
•         Experience in developing recurrent neural network and Convolutional neural network is a strong plus


We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

R0052348

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