Job Description :

PayPal is looking for a highly motivated teammate ready to play a key role as a Data Scientist.

About Us :

• PayPal Credit is the simple, flexible credit line built into your PayPal account.
• PayPal Credit Risk Organization is responsible for managing the risk throughout the lifecycle of PayPal’s global Credit products.
• This is an exciting, fast-paced organization where the contribution by team members can significantly impact PayPal’s bottom line as well as our customers’ experience.

Required Skills :

• Proficiency in SQL and Excel
• Proficiency in at least one statistical analysis tool: SAS / R / Python
• Strong analytical skills: ability to build quick estimates using back-of-the-envelope analysis, structure (and, if needed, execute) more complex analyses, pull together business cases, navigate multi-dimensional sets of tradeoffs. Above all, the job calls for a comfort with data – ability to manipulate it, question its validity, interpret it, and develop recommendations based on it
• As a Data Scientist at Paypal, you should have the ability to manage a large, diverse set of to-do’s – prioritize, stay on top of multiple workstreams, monitor progress
• Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently
• Strong communication skills – a sense of appropriate communication mechanism/approach to use given context/circumstances.
• Experience working with cross-functional, geographically distributed teams, managing by influence is a plus.
• Ability to contribute to strategic discussions and represent Risk in cross-functional meetings
• Ability to mentor junior team members
• Dedicated, proactive, curious and eager to learn new approaches/methodologies – a must

Desired Skills :

• Must be an intuitive, organized, analytical thinker, with the ability to perform detailed analysis
• Strong written, oral, and interpersonal skills a must, including the ability to explain and/or present analysis
• Must have a good business judgment with demonstrated ability to think creatively and strategically
• Aptitude and willingness to roll up the sleeves and get involved in the details
• Risk management / big data manipulation experience is a plus

Education :

Bachelor’s degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline

Experience :

• 3.5 – 5 years of related experience
• 1+ years supervisory experience helpful, but not required
• MS/MBA or Ph.D. degree can qualify for some years of experience