Staff Product Data Scientist

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Join PayPal as a Staff Product Data Scientist

At PayPal (NASDAQ: PYPL), we are dedicated to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our vision encompasses a world where finance is accessible to everyone, unleashing potential economic opportunities at all levels. As part of our team, you'll be at the heart of pioneering money movement and commerce worldwide.

Job Description Summary

PayPal is seeking exceptional, analytical, and dedicated Staff Product Data Scientists to enhance our global impact. You will be part of a team committed to innovating on an international scale, solving complex problems, and leveraging massive datasets to drive success across our platforms.

What We Expect

The ideal candidate will possess:

  • Proficient SQL abilities and exceptional data visualization skills.
  • The capability to integrate and interpret data findings to provide actionable insights.
  • Proficiency in conducting in-depth analyses of key business metrics and crafting user-friendly presentations.
  • Experience interfacing directly with stakeholders to exchange ideas and solutions.
  • A proactive approach to adopting industry best practices and generating innovative ideas.

About You

You are data-driven and leverage data to solve business questions. You are known for your analytical rigor, passion for empirical research, and ability to work independently in a dynamic environment. With your energetic and collaborative spirit, you stand ready to drive product insights that shape the future of e-commerce.

The Role

As a Staff Product Data Scientist at PayPal, you'll:

  • Partner with Product Managers to define metrics that measure new product performances.
  • Conduct exploratory data analyses, develop executive dashboards, and build robust business cases to influence decisions.
  • Analyze and enhance product performance, diagnose issues, and advise on optimal solutions.
  • Mentor team members and establish best practices in analytics and experimentation.

Requirements

To be considered for this role, you should have:

  • A minimum of 7 years' experience in data analysis within a complex, data-rich environment.
  • A strong quantitative background with a degree in Analytics, Engineering, Computer Science, or similar.
  • Expertise in SQL, Excel, Tableau, or Qlikview; knowledge of R or Python is preferable.
  • Experience in financial services or payment solutions will be a distinct advantage.
  • Outstanding communicational skills to influence and collaborate across teams.

Benefits and Compensation

At PayPal, we value our employees deeply, offering competitive compensation, including bonuses and stock options, comprehensive health benefits, and several other perks. Our inclusive culture champions diversity and continuous professional growth, creating an environment where you can flourish. For more details, please visit our benefits page at .

Apply Now

If you're motivated by data, inspired by technology, and ready to drive change at a global scale, we would love to learn more about you. Embark on this exciting journey at PayPal by submitting your application today. Join us in redefining the future of finance!

Equal Opportunity Employment

PayPal is proud to be an equal opportunity employer and considers qualified applicants without regard to race, gender, sexual orientation, gender identity or expression, genetic information, religion, national origin, age, disability, veteran status, or any other protected basis under applicable law.

PayPal also complies with ADA regulations and accepts applications from individuals with disabilities, supporting inclusivity across our workforce.