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Data Scientist 1 Job in Columbus, Ohio US

Data Scientist 1

PayPal, Inc - Columbus, OH

Posted: 4/15/2024 - Expires: 5/15/2024

Job ID: 272385533

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Job Description

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.

Job Description Summary:
What you need to know about the role-
This role offers a unique opportunity to innovate and improve PayPal's Pay Later credit risk strategy.

Meet our team
PayPal's US Pay Later team is responsible for partnering with global business units to manage a variety of credit risk strategies. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This particular opportunity is within the Credit Risk team.

Job Description:

Your way to impact-

This role offers a unique opportunity to innovate and improve PayPal's Pay Later's credit risk strategy. Design, develop and maintain data-driven solutions for PayPal credit risk management. Make sound decisions that balance risk, user experience and financial performance. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business. Develop and automate tracking functionality that monitors volume and solution efficacy. Provide the appropriate framing of business problems, define project plans and work breakdowns, setting timelines and quality metrics for the project, and coordinating activities of cross-functional teams to deliver effective solutions.

Your day to day -

* Apply advanced statistical techniques and algorithms on complex dataset to build statistical or financial models for prediction and driving actionable business insights for PayPal product or customer level credit risk management
* Mine data covering a wide range of information from user profile to transaction details to solve risk problems that involve classification, clustering, pattern analysis, sampling, simulations. Leverage data to conduct Pay Later business program and initiative analytics, monitoring, and reporting with scalable and flexible platform
* Conduct a 360 credit risk framework that covers risk lifecycle metrics and customer experience/engagement metrics for decisioning and drive cross team collaboration. Conduct on-going performance overview to senior leadership team
* Carry out independent research and innovation in new content, ML and technological domains. Trouble shooting any data, system and flow challenges while maintaining flawless strategy execution

What do you need to bring-

* Master's degree with 2+ year professional experience.
* Data driven mindset with degree in a quantitative discipline such as Computer Science, Statistics, Mathematics.
* Proven experience in employing mathematical, statistical and data mining methods on real world problems
* Proficient in data mining and familiar with SQL, BigQuery, SAS, Python, etc.
* Must be an intuitive, organized analytical thinker, with the ability to drive analysis end to end
* Industry experience in payments, e-commerce, or financial services is a plus.
* Exceptional written and verbal communication skills to influence cross-functional teams.

Additional Job Description:

Subsidiary:
PayPal

Travel Percent:
0

-

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. FoApply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjIwODAxLjEwNTA4QHBheXBhbGNvbXAuYXBsaXRyYWsuY29t

Contact Information

Email:
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Job Summary

Employment Type:
Full Time Employee
Job type:
Regular Employment
Skill Based Partner:
No
Education Level:
No school grade completed
Work Days:
Mon, Tue, Wed, Thu, Fri
Job Reference Code
N/A
Salary
N/A
Licenses / Certifications:
N/A
Display Recommended WorkKeys®Recommended WorkKeys®:
Applied Math: 5
Graphic Literacy: 5

Workplace Documentation: 5