1+ months
2018-07-052018-09-03

Manager, Data Science - 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 237 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.

The Manager, Finance Technologies will directly report to and support Director of Finance Technologies in the development and execution of strategic transformation programs & initiatives, strategic engineering architecture design, resource allocation, and platform performance monitoring. Ideal candidate is a technologist who believes that use of technology is in its infancy and the best is yet to come. The nature of role is strategic, analytical and highly collaborative, working with team members across World and also as a liaison for Global projects.


Responsibilities

  • Lead, develop, and grow a high performance, multi-function team of talented and passionate professionals, who are results driven to take the business forward and demonstrate superior leadership in line with the PayPal values.
  • Build and evaluate predictive and decision models to be deployed in production systems, or for research. 20% of the job requires production quality coding.
  • Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables, performing experiments with different types of algorithms and models, analyzing performance, to identify the best algorithms to employ
  • Architect and develop operational models that run at scale thru partnership with data engineer teams. Lead a team of data scientists to design, prototype, implement and test descriptive and predictive analytics models
  • Highly detailed with a systematic approach, sense of responsibility and strong, positive customer focus. Must be results focused and highly energetic to drive the defined team and organizational goals
  • Partner with cross-functional teams to identify and explore opportunities for the application of machine learning and predictive analysis
  • Must have demonstrably strong interpersonal and communication skills (both written and verbal), to include speaking clearly and persuasively in positive or negative situations
  • Effectively lead teams by providing appropriate direction and developmental feedback, conducting annual reviews and participating in compensation decisions
  • Eat, sleep, and breathe services. Experienced in balancing production platform stability, feature delivery, and retirement of technical debt across a broad landscape of technologies

Requirements

Qualifications

  • Master’s degree or higher in Statistics/Math/Computer Science or related field
  • Background in applied statistical modeling on large experimental or observational data sets
  • Experience extracting data from a variety of sources, and a desire to expand those skills (working knowledge SQL is required, Spark is a plus)
  • 6+ years of industry work experience in managing and leading data scientist projects
  • Experience with one or more statistical or machine learning software such as R, Python, etc.
  • Knowledge of distributed computing systems, e.g. Cosmos, Spark, Hadoop, and relational database management system is required
  • Strong conceptual and creative problem-solving skills; ability to work with considerable ambiguity; ability to learn new and complex concepts quickly. Relentlessly resourceful and scrappy
  • A great communicator, strong project management skills, and superb attention to details
  • Experience leading teams in a global complex matrix organization involving multiple reporting lines

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.

R0033068

Categories

Syracuse Analytics Online
Take your analytical skills to the next level. Earn an M.S. in Business Analytics online. GMAT waivers available. Apply now!

Featured Jobs

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Manager, Data Science - PayPal

PayPal
San Jose, California

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast