Summary written by USA Jobs 24 from PayPal's advert and our data on 16,911 current US jobs. How we check every job
At a glance
PayPal is hiring a Senior Data Scientist in San Jose, CA. It is a full-time role in Data, AI & Analytics, asking for at least 25 years of experience, first listed on November 10. The advertised pay is $144,991–$243,500 a year. The description mentions Generative AI, Statistics, Python, SQL, Machine learning and TensorFlow. PayPal has 99 other openings in the US, 65 of them in San Jose, CA. Across all employers on USA Jobs 24 there are 67 Data & AI openings in San Jose, CA today; the typical one asks for 8 years and advertises about $219,000 a year at the midpoint.
Generative AIStatisticsPythonSQLMachine learningTensorFlowPyTorchTableau
How the pay compares
PayPal advertises $144,991 to $243,500 a year, a midpoint of $194,246 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 71% of the 569 data & AI jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $227,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,797 data & AI jobs we list today. Python is the most widely requested (45% of jobs), while TensorFlow is the least common (6%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on PayPal's Workday site on November 10 and checked it again November 10, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in San Jose, CA. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 25 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Generative AI, Statistics and Python, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through PayPal's own site. Our Apply button goes straight to PayPal's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at PayPal
PayPal has 100 openings on USA Jobs 24 today across 43 states. Most are in software & IT (23), data & AI (14) and finance & banking (12). The biggest locations are San Jose, CA (66), Austin, TX (54) and Chicago, IL (48). 6% of them are remote, 6% are open to entry-level candidates and 100% show pay. We collect PayPal's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is PayPal's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from PayPalHide the advert1,226 words
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:
PayPalTravel Percent:
0PayPal 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 paypalglobaltalentacquisition@paypal.com.
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.
USA Jobs 24 copied this listing from PayPal's official careers site on November 10, 2026 and checked it again November 10, 5:17 AM ET. PayPal will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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