At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:

PayPal is seeking an experienced individual contributor with a strong background in experimentation and causal inference to join the founding team of an experimentation and measurement science center of excellence in the Global Analytics and Data Science (GADS) Organization. As a member of the founding team, you will work collaboratively to develop best practices for experimentation across multiple functions, including consumer behavioral assessment across paid and owned marketing channels, different features on the PayPal infrastructure (app/web), and personalization engines. In this role, you will have the opportunity to shape the future of experimentation at PayPal and contribute to the democratization of financial services for customers around the world.

Job Description:

Meet our team

You will have the chance to be part of a dynamic team in a high-visibility environment, contributing to the creation of an experimentation and measurement sciences center of excellence. Your work will help shape the test design, development, review, and deployment methodology in PayPal's GADS Consumer Marketing organization.

Your way to impact

As a Senior Data Scientist at PayPal, you will develop and implement best practices for experimentation across the organization, driving innovation and accelerating business impact. Working collaboratively with cross-functional teams, you will influence the development of our experimentation platform and guide all experimentation efforts across different business KPIs. Join us and become a key player in shaping the future of experimentation at PayPal, a global leader in online payments and democratization of financial services.

Your day to day

As a Senior Data Scientist you will be responsible for:

Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques across multiple teams in the GADS Consumer Marketing org and identifying opportunities for upscaling the methodology best practices.
Identifying improvement opportunities, developing test experimentation prototypes, and benchmarking results to challenge status quo and share the results with the stakeholders.
Writing scalable code to automate testing frameworks, optimizing for reusability, and getting experimenters onboard with the tools, and capabilities created.
Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, review and track key performance indicators (KPIs) for experimentation.
Conducting best practices literature review and sharing sessions with the entire org, and providing design review, guidance and sign-off support to stakeholders across the org.
Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.

What are we looking for

Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Statistics, Biostatistics, Mathematics, Operations Research, Computer Science, Physics) with a minimum of 5 years of hands-on experience as an individual contributor in the field of experimentation.
Strong theoretical foundations in probability & statistics, causal inferencing techniques (such as, RCTs, quasi-experimental designs, matching/propensity-based), general testing state of the art (such as, A/B, A/A, multivariate, sequential, split, redirect, bandit-based, personalization, factorial), machine learning.
Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests, in conducting post-hoc analysis, in assimilating best practices for a wide array of design use-cases and communicating the findings in a succinct manner to marketing stakeholders and different experimentation groups.
Proficiency in building scalable packages/libraries for experimentation, in-depth statistical analysis, causal inferencing and visualization in R and Python.
Fluency in processing and manipulating large datasets and building data engineering pipelines using technologies such Hive, SQL, BigQuery, or Spark.
Proficiency in machine learning frameworks and packages, such as TensorFlow and PyTorch.

Nice to Haves

Experience leading or participating in groups responsible for building out best practices for org-wide experimentation capabilities (such as, experimentation center of excellence).
Experience participating in ideation and improvement of internal experimentation engineering platforms and working with external A/B testing platforms such as Optimizely, Google Optimize, VWO, Adobe Target or Convert.
Prior experience working in a cloud-based environment such as GCP.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

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

$96900 to $234300

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 remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.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.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Senior Data Scientist, Experimentation