Data Science Manager, Machine Learning in New York at PayPal

Date Posted: 8/29/2019

Job Snapshot

  • Employee Type:
  • Location:
    New York
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
  • Job ID:

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 286 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.

Data Science Manager –Machine Learning Model Validation is a key technical expert in Model Risk Management (MRM) Function. The MRM Function performs independent validation and approval of models that have significant financial, business, and risk management impact. The role will be exposed to the forefront of machine learning applications in the fast-growing digital payment industry. We offer a collegial team environment, significant growth and learning opportunities for team members.

Role and Responsibilities

  • Lead quantitative and qualitative validation of high-impact statistical and machine learning models used in fraud detection, credit scoring, underwriting, financial forecasting, etc.
  • Conduct model validation according to Model Risk Management Policy, write validation reports, identify model risk issues and recommendation, and develop benchmark models
  • Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
  • Assist model risk governance related activities in model inventory and issues tracking, performance monitoring, and model risk metrics reporting


This position requires the ability and curiosity to learn various advanced modeling methods because the broad coverage and rapid evolution of the models covered by Model Risk Function.  It also requires building effective relationship with various stakeholders including business managers, model owners, and model developers. This position must possess excellent communication, writing and presentation skills.

  • An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering, Ph.D. highly preferred
  • 6+ years of experience in machine learning, advanced statistical models, and AI research with applications in technology, banking, or Fintech industry
  • Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics
  • Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
  • Experienced with big data computing skills (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
  • A track record of leading projects and building relationship with stakeholders and influencing decision makers

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.



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