PayPal Data Scientist in San Jose, California

Data Scientistin San Joseat PayPal

Date Posted: 9/6/2018

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Job Snapshot

  • Employee Type: Full-Time

  • Location:

  • Job Type:

  • Experience: Not Specified

  • Date Posted: 9/6/2018

  • Job ID: R0031198

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 244 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.

This role is responsible of creating automation products to be adopted by partner teams to achieve better analytical quality and efficiency as well as operational excellence.

Responsibilities

  • Understand the process of decision optimization, data analysis, as well as analytical and operational partners' work

  • Create pipelines (data processing, data analysis, optimization, implementation) for automated strategy development

  • Collaborate closely with analytical and operational partners in creating and maintaining tools to reduce their repeated manual effort, and improve decision quality and process efficiency

  • Communicate efficiently and frequently with partners to gather requests and feedback, then quick adopt these requests and feedback into products your are building

  • Interest and ability in learning new techniques and research on how to apply them into daily work

Qualifications

  • BA degree (MS is a plus) in Computer Science, Computer Engineering, Electric Engineering, Mathematics or equivalent practical experience

  • 2+ years of Data Scientist experience required.

  • Experience with data manipulation and analysis tools (SQL, Python, R or similar languages)

  • Familiar with typical data mining and machine learning algorithms such as linear regression, decision tree, logistic regression, and clustering's representation and implementation

  • Effective communication skills

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.

R0031198

Individuals seeking employment at PayPal are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. You have the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.