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Senior Data Scientist

Pay
$144,991–243,500/year — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USMust be legally authorized to work in the US without sponsorship

What you’ll work on

Full posting
  • You will work with stakeholders to understand requirements and deliver solutions.

From the employer’s posting
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:
Education & alternatives
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:

Benefits in the posting

Full benefits wording
  • 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.

From the employer’s posting.

About 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.

In the employer’s words · Read in context

Apply at PayPal

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$145K–$244K against $118K–$194K, the middle half of what similar US postings state.

From 3,819 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 57.

At PayPal, jobs usually come down by about day 16.

From 10,789 similar postings that came down, and 87 of PayPal’s. Coming down is not always a hire.

PayPal is hiring

25 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down quickly
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Hadoop
  • Looker
  • Tableau
  • Matplotlib
  • Plotly
  • PySpark
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
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 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 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).
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 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).

Your next step

Complete your application on paypal.eightfold.ai. The employer’s form will show what is required.

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Already applied? Track this application

Has PayPal posted this job before?

Yes. We’ve followed one other Senior Data Scientist job there since June 2026. It came down after 71 days.

  1. LondonCame down after 71 days, first seen Jun 11
  2. This jobUp 0 days so far, first seen Nov 9

About PayPal

People
About 23,800 in 2025, down 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as PYPL.
H-1B visas
487 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 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.
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Pay
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.
Location & working pattern

San Jose, CA, US

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:
Work authorization
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:
More source context
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:

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