Director, Data Science 1 in San Jose at PayPal

Date Posted: 7/12/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    San Jose
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    7/12/2019
  • Job ID:
    R0045759

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 is looking for a key leader in the Global Data Science Organization, to lead a global team responsible for strategic machine learning/AI applied research. The team researches and develops innovative Machine-Learning/AI solutions for multiple domains across PayPal - Risk, Fraud, Credit Sales, Marketing, Customer-support, Product experience, etc. We use data, technology and innovative machine learning algorithms to drive business results and improve customer experience. The leader of the strategic research team will manange an elite team of distinguished data-scientists and deliver end to end complex applied research initiatives while leveraging academia and industry state of the art advanced ML technologies and algorithms

PayPal is looking for a key leader in the Global Data Science Organization, to lead a global  team responsible for strategic machine learning/AI applied research. The team researches and develops innovative Machine-Learning/AI solutions for multiple domains across PayPal - Risk, Fraud, Credit Sales, Marketing, Customer-support, Product experience, etc.

We use data, technology and innovative machine learning algorithms to drive business results and improve customer experience. The leader of the strategic research team will manange an elite team of distinguished data-scientists and deliver end to end complex applied research initiatives while leveraging academia and industry state of the art advanced ML technologies and algorithms



What does Success Look Like?  

In your role, you will:

  • Lead a global team of distinguished data scientists to own and deliver applied research initiatives, bring those capabilities from initial academia/industry research to operational grade. Form clear vision and lead the team towards the vision.
  • Drive the ML/AI advanced research and together with strong partnership with our engineering group and PayPal's Platforms organization.
  • Act as chief data science officer for the expanded team, providing strong technical support and guidance for the expanded team domain including : Complex graph computation and networks theory, NLP, unsupervised learning and more.
  • Develop deep understanding of key ML/AI long term needs of different business domains and build strong strategic partnership with members of the data science orgnization; provide leadership to enable achieving those needs through innovation.
  • Communicate complex technological/data-science concepts in a clear and effective manner to senior leadership. Be able to influence partners and customers with technology leadership.
  • Be a true thought leader for our organization (and PayPal overall) and contribute significantly to develop the next generation of applicable AI technologies for the company.

About You

  • Advanced degree (MS or PhD) in science or engineering field with 10+ years of relevant experience. 5+ years of supervisory experience.
  • Experience in building a strong team of data-scientists across multiple geographies
  • Proven experience in leading open-ended data-science/ML/AI research from initial ideation stage up to delivering the capabilities in 'production grade'
  • Have a true passion for working on applied research, big data/ML/AI  and professional experience in data mining, statistical analysis, predictive modeling, managing product functions
  • Strong problem solving skills, business acumen, and communication skills
  • Proven experience in working with multiple partner groups to drive longer term strategies within a matrix-based organization
  • Strong Programming experience & Familiarity with various Machine Learning algorithms and Statistical methods
  • SQL and Hadoop / Other Big Data skills
  • Experience in Fintech industry 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.

R0045759

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