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PayPal

Senior Data Scientist

Posted 6 Days Ago
Be an Early Applicant
In-Office
San Jose, CA, USA
145K-244K Annually
Senior level
In-Office
San Jose, CA, USA
145K-244K Annually
Senior level
Lead data science for PayPal’s Agentic Commerce offering by designing controlled experiments, applying causal inference, modeling merchant and consumer behavior, and building measurement frameworks for growth, conversion, latency, availability, and friction. Collaborate with Product and Engineering teams to optimize AI-driven checkout experiences, ensure data quality, establish best practices, and mentor junior scientists.
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The Company

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. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Job Description:

PayPal, Inc. seeks Senior Data Scientist in San Jose, CA 

 

Job Duties: Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms. Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows. Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments. Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels. Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights. Partial telecommuting permitted from within a commutable distance.


EOE, including disability/vets.


The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: 


Primary Location | Pay Range: 

San Jose, CA |   Salary: $144,991.00-243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. 


Must be legally authorized to work in the U.S. without sponsorship.








Additional Responsibilities & Preferred Qualifications:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field plus two years of experience in the job offered or a related occupation.



Special Skill Requirements:


Experience using Python and SQL for data analysis, querying databases, and machine learning (2 years).


Experience with statistical analysis, probability, hypothesis testing, parametric & non-parametric tests, A/B testing frameworks and product analytics (2 years).


Experience with Bayesian Statistics and Mixed Effect Modeling to measure Product launches. (2 years).


Experience with machine learning and predictive modeling, including scikit-learn, TensorFlow, or PyTorch for building and deploying models (2 years).


Experience with data visualization, Tableau, Looker, Plotly, Dash and Matplotlib/Seaborn for presenting insights (2 years).


Experience with ETL pipelines, data warehouses to work efficiently with structured and unstructured data (2 years).


Experience translating data insights into actionable business strategies and communicating findings to stakeholders (2 years).


Experience with AWS, GCP, or Azure for cloud computing, storage, and model deployment (2 years).


Experience working with PySpark and Hadoop for handling large-scale datasets (1 years).


Experience with probabilities modeling using Monte Carlo simulation and related stochastic techniques (1 years).


Subsidiary:

PayPal

Travel Percent:

0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes.  Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately.  To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. 

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

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 comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

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 [email protected].  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

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

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

HQ

PayPal San Jose, California, USA Office

2211 North First Street, San Jose, CA, United States, 95131

PayPal San Francisco, California, USA Office

San Francisco, United States

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