Quick Summary
Key Responsibilities
* Lead the development and implementation of advanced data science models. * Collaborate with stakeholders to understand
Requirements Summary
* 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Technical Tools
Data ScientistData
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:
As PayPal continues its mission to revolutionize commerce, we are seeking a talented Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will play a key part in driving profitable growth across our product portfolio by turning complex data into actionable insights that shape strategic decisions and deliver meaningful value to consumers worldwide.
This is an exciting opportunity for a business-oriented, technically strong analytics professional with exceptional problem-solving skills and a passion for uncovering insights, influencing decisions, and telling compelling stories through data. If this introduction sparks your interest, keep reading — the best is yet to come!
Job Description:
Essential Responsibilities:
* Lead the development and implementation of advanced data science models.
* Collaborate with stakeholders to understand requirements.
* Drive best practices in data science.
* Ensure data quality and integrity in all processes.
* Mentor and guide junior data scientists.
* Stay updated with the latest trends in data science.
Minimum Qualifications:
* 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
Meet Our Team
Our Consumer Portfolio Growth team sits at the intersection of data science and commercial strategy. We focus on understanding how consumers engage across PayPal’s full product suite — spanning PayPal P2P, Checkout, Credit, Debit, and more — and on identifying where the greatest untapped growth opportunities lie.
The team drives business outcomes through advanced analytics, customer segmentation, funnel analysis, and causal inference. We are a close-knit group of intellectually curious, technically rigorous data scientists who take pride in delivering crystal-clear narratives to senior leadership and measurable impact to the business.
Your Way to Impact
In this role, you will help drive profitable growth across PayPal’s full consumer product portfolio by transforming data into actionable insights that influence strategic decisions at every level of the organization. Your work will directly shape business performance by delivering scalable analytics, rigorous data science models, and data-driven recommendations that empower teams to make better decisions and create lasting value for our customers.
Your Day to Day
* Lead advanced deep-dive analyses that go beyond surface-level reporting to produce crystal-clear narratives on the data science questions that matter most to the business — diagnosing unexpected trends, pressure-testing assumptions, and sizing new growth opportunities.
* Apply sophisticated quantitative methods — including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching — to answer complex business questions with statistical rigor.
* Build and own robust customer segmentation frameworks that reveal behaviorally distinct consumer cohorts, and translate those insights into concrete, segment-specific growth strategies.
* Analyze how consumer behavior evolves across PayPal’s full product ecosystem, quantifying the impact of cross-product attachment on engagement, retention, and monetization.
* Monitor key consumer funnel metrics — activation, engagement, retention, and monetization — across products, segments, and geographies, and explain drivers of change with speed and precision.
* Proactively surface new growth and optimization opportunities through analytics and financial modelling, developing rigorous business cases that quantify opportunity size and expected impact.
* Manage analytical projects end-to-end, from inception through delivery, ensuring quality, timeliness, and relevance to business objectives.
* Partner closely with Commercial, Product, Marketing, and Finance teams to inform and influence strategy, serving as a trusted analytical advisor to senior stakeholders.
* Leverage AI-native tools such as Claude and Claude Code to accelerate analysis, automate recurring workflows, and scale insight delivery across the consumer growth domain.
What You Need to Succeed
The ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.
* Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
* 5+ years of experience in data science, analytics, or a closely related quantitative role, including hands-on experience analyzing large, multi-dimensional datasets.
* Fluency in SQL and Python; experience with statistical modelling, ML frameworks, and large-scale data processing.
* Demonstrated experience applying advanced data science methods including machine learning, causal inference, synthetic controls, or difference-in-differences in a business context.
* Proven ability to build and deploy models in both offline research and production environments.
* Stakeholder-facing experience, including managing relationships with senior business leaders and presenting analytical findings with confidence.
* Proficiency in visualization and reporting tools such as Tableau or Looker; ability to produce executive-ready PowerPoint presentations.
* Strong written and verbal communication skills to influence cross-functional teams.
* Ability to work proactively and independently in a fast-paced environment, managing competing priorities.
The Traits to Exceed
You are a self-starter who thrives in a fast-paced environment, takes ownership of projects, and is driven by curiosity and continuous learning. As part of a broader Consumer Analytics organization, you will partner closely with cross-functional stakeholders across Product, Commercial, Marketing, Finance, and Engineering, making strong collaboration, communication, and influencing skills essential for success.
We are especially looking for candidates who demonstrate:
* Comfort operating in ambiguous, complex problem spaces — you define structure where none exists.
* Intellectual curiosity and the drive to go beyond the question asked to surface the most important insight.
* A track record of translating rigorous analytical work into measurable business outcomes.
* AI-native working practices — comfortable using LLMs and agentic tools to accelerate workflows and build scalable solutions.
* Proactive communication and the confidence to present recommendations clearly to senior leaders.
We Believe in You
Interested? Don’t hesitate to apply or reach out and let's talk — we’d love to get to know you!
_
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.
Location & Eligibility
Where is the job
—
Location terms not specified
Who can apply
Open to applicants worldwide
Listing Details
- Posted
- June 10, 2026
- First seen
- June 10, 2026
- Last seen
- June 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 44%
- Scored at
- June 10, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application · ~5 min on paypal's site
Please let paypal know you found this job on Jobera.
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