Principal Data Scientist in San Jose at PayPal

Date Posted: 7/8/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    San Jose
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    7/8/2019
  • Job ID:
    R0044641

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 277 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.

PayPal’s Credit Data Science team is looking to hire a hands-on Data Science leader to lead PayPal’s credit business’ expansion into new markets and new products. This person will be leading a small team of Data Scientists to design, build, communicate and implement best in class, highly innovative Machine Learning Solutions to launch and/or scale Credit products. It’s high visibility and high impact role with huge opportunity to explore and innovate. He or She will own solutions for complete life-cycle (demand generation, marketing, fraud, credit, account management and collections) of customers for those products.

PayPal’s Credit Data Science team is looking to hire a hands-on Data Science leader to lead PayPal’s credit business’ expansion into new markets and new products. This person will be leading a small team of Data Scientists to design, build, communicate and implement best in class, highly innovative Machine Learning Solutions to launch and/or scale Credit products. It’s high visibility and high impact role with huge opportunity to explore and innovate. He or She will own solutions for complete life-cycle (demand generation, marketing, fraud, credit, account management, and collections) of customers for those products.

Role and responsibilities

  • Work with business partners and stakeholders to understand the business, formulate the problems, come up with the solutions and communicate them back effectively to a non-technical audience.
  • Hire, integrate, mentor and grow junior data scientists
  • Design, develop and implement real-time, highly complex advance machine learning models to solve credit business problems (demand generation, marketing, fraud, credit, account management, and collections)
  • Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, R, H2O, Hadoop, and SQL
  • Collaborate with engineers to implement models on one of the best data platforms in the industry.
  • Analyze data to identify trends, perform root cause analysis and test hypotheses.
  • Communicate complex concepts and the results of the models and analyses to a technical and non-technical audience

Qualification

  • Advanced degree (MS or PhD) in science or engineering field with 5+ years of relevant experience
  • 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.
  • Proven track record of building and implementing machine learning solutions
  • 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.  
  • 2+ years’ of experience leading data science team
  •  Financial services or eCommerce experience a big 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.

R0044641

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