PayPal

Data Scientist

Remote
Machine Learning SQL Python
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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:
The dynamic team of Data Scientist support PayPal’s Xoom Product in the fraud risk space. If you are passionate about using data analytics and machine learning to combat fraud, this opportunity is for you.

Job Description:

Meet our team:

Our organization prioritizes developing diverse talent and fostering an inclusive environment where you will be encouraged to align your values with the PayPal Leadership Principles and apply them in your daily role.

Our team is committed to PayPal’s Leadership Values and exemplifies:

  • Innovation work customer back: create simple and valuable customer experiences.
  • Inclusion Put people first: build the next generation, unlocking their superpowers.
  • Wellness: Work as One PayPal.
  • Collaboration: Win together

Your way to impact:
You will play a vital role in the team's new initiatives and collaborate closely with cross-functional teams, such as product and engineering, to develop innovative risk strategies.
Your day to day:

Collaboration: Work with cross-functional teams to understand business requirements, deploy model and risk strategies into production, and ensure their scalability and reliability. Partner with key stakeholders to design the new risk platform and ensure better quality of risk decisions

Data Analysis: Analyze large datasets to provide insights on fraud trends and strategy improvement opportunities and monitor risk strategy performance and continuously refine methodologies to improve fraud detection accuracy and efficiency

Data Management: Build robust risk abnormality detections and critical risk signals to identify fraud patterns. Stay updated on the latest advancement in data science, machine learning and fraud detection techniques, and apply them to enhance current strategies.
What do you need to bring:
 

Communication Skills: Excellent communication and presentation skills, with the ability to explain complex concepts in a clear and understandable manner.

Technical Skills: Strong proficiency in analytical tools and languages such as SQL, Python and data visualization tools (e.g., Tabeau, Power BI)

Attention to Detail: Detail-oriented mindset with a commitment to producing high-quality work efficiently

Education: Master’s degree, or foreign equivalent, in Statistics, Mathematics, or closely related quantitative discipline plus two (2) years of experience in or two (2) years of experience in the field of data analysis or statistical analysis

OR bachelor’s degree, or foreign equivalent, in Statistics, Mathematics or closely related quantitative discipline plus three (3) years of experience in the or three (3) years of progressively responsible experience in the field of data analysis or statistical analysis

Additional Job Description:

Subsidiary:

Xoom

Travel Percent:

0

Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:
Click Here to learn more about our culture and community.


PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.com.

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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Any general requests for consideration of your skills, please Join Our Talent Community.

PayPal
PayPal
E-Commerce Platforms FinTech Mobile Payments Transaction Processing

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