Lead Experimentation Scientist

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Job Description

The Product Analytics manager will work closely with cross-functional teams to design and analyze experiments, develop statistical frameworks, and drive data-driven decision-making across the organization.

We are looking for an experienced Lead Experimentation Scientist with a background in statistical experimentation to join our team. The Lead Experimentation Scientist will work closely with cross-functional teams to design and analyze experiments, develop statistical frameworks, and drive data-driven decision-making across the organization.

Key Responsibilities:

  • Design and implement statistical experiments to test hypotheses and optimize business processes.
  • Develop statistical models to analyze complex data sets and generate insights that inform business decisions.
  • Collaborate with cross-functional teams to identify opportunities for experimentation and optimization.
  • Conduct advanced statistical analysis, including regression analysis, ANOVA, and multivariate analysis.
  • Communicate experiment results and insights to technical and non-technical stakeholders.
  • Mentor junior data scientists and provide technical guidance on statistical analysis and experimentation.

What you need to bring:

  • Data driven mindset with a Bachelor’s / Master’s degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
  • 5+ years of experience in statistical experimentation, data analysis, and data modeling.
  • Strong knowledge of statistical methods, including hypothesis testing, experimental design, and regression analysis.
  • Proficiency in statistical analysis tools such as R, Python, or SAS.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Experience with experimentation platforms such as Optimizely, Google Optimize, or Adobe Target.
  • Strong project management skills, with the ability to manage multiple projects and priorities in a fast-paced environment.

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. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is $84,500 to $204,600

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

Company Info.


PayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.

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    2211 North 1st Street, San Jose, CA 95131, USA
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PayPal is currently hiring Lead Scientist Jobs in San Jose, CA, USA with average base salary of $84,500 - $204,600 / Year.

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