PayPal Logo

PayPal

Staff Data Scientist

Posted 10 Days Ago
Be an Early Applicant
In-Office
Chicago, IL, USA
142K-222K Annually
Senior level
In-Office
Chicago, IL, USA
142K-222K Annually
Senior level
Lead pricing optimization data science: analyze large, multidimensional datasets, build ML and statistical models, apply causal inference and Bayesian methods, design experiments (A/B and multivariate), and collaborate with Product, Engineering, and Finance to drive pricing decisions and protect margin.
The summary above was generated by AI

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:

Job Description:

PayPal, Inc. seeks Staff Data Scientist in Chicago, IL

Job Duties: Lead Data Science initiatives within the Pricing Optimization team to drive data-informed pricing decisions. Analyze large, multidimensional datasets and translate findings into actionable insights. Conduct hypothesis testing, statistical inference, and regression analysis to support decision-making. Manage and derive insights from large, complex, and unstructured datasets. Develop machine learning and statistical models to identify pricing targets and treatment strategies that protect margin and sustain merchant engagement. Design and implement experimentation frameworks to evaluate pricing sensitivity and optimize incentive strategies. Collaborate cross-functionally with Product, Engineering, and Finance teams to influence pricing decisions and roadmap priorities. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Bachelor’s degree, or foreign equivalent, in Data Science, Business Analytics, or a closely related field plus six years of experience in the job offered or a related occupation. 

Special Skill Requirements:

1.              Experience with scripting languages: Python (Pandas, NumPy, Scikit-learn, and Statsmodels), and SQL, for data manipulation and modeling (5 years)

2.              Experience working with large, complex, and high-dimensional datasets in a production environment (5 years)

3.              Experience in statistical analysis, hypothesis testing, and regression (5 years)

4.              Experience communicating with cross-functional executive stakeholders, driving alignment on high-impact data science initiatives, and influencing non-technical stakeholders to drive business impact (5 years)

5.              Experience with pricing science concepts, including elasticity, marginal value, and segmentation (2 years)

6.              Experience with causal impact modeling techniques, including Propensity Score Matching and Difference-in-Differences (2 years)

7.              Experience with supervised learning (e.g., regression, classification) and unsupervised learning (e.g., clustering, dimensionality reduction) methods (5 years)

8.              Experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable business insights and solutions (6 years)

9.              Experience with statistical inference techniques for complex business scenarios, including hierarchical modeling and Bayesian approaches (5 years)

10.           Experience designing experimentation frameworks and mentoring teams on best practices in large-scale A/B and multivariate testing (2 years)


Additional Responsibilities & Preferred Qualifications:

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: 

Chicago, IL | $142,210.00-221,500.00 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.

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.

PayPal Chicago, Illinois, USA Office

222 Merchandise Mart Plaza, Suite 800, Chicago, Illinois, United States, 60654

Similar Jobs

18 Days Ago
Remote or Hybrid
USA
154K-220K Annually
Senior level
154K-220K Annually
Senior level
Edtech • Information Technology • Software
Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.
Top Skills: AirflowCi/CdDbtHugging FaceJupyterKubernetesMlflowPythonPyTorchSnowflakeTensorFlow
3 Days Ago
In-Office or Remote
Chicago, IL, USA
170K-210K Annually
Senior level
170K-210K Annually
Senior level
Artificial Intelligence • Automotive • Machine Learning • Financial Services
Embedded on a core business team, own end-to-end analytics: define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed product, growth, and partnership decisions.
Top Skills: ClickhouseGitJupyter HubMetabasePythonSQL
3 Days Ago
In-Office or Remote
Chicago, IL, USA
170K-210K Annually
Senior level
170K-210K Annually
Senior level
Artificial Intelligence • Automotive • Insurance • Software
Embed with a core business area to define problems, design metrics and experiments, pull and analyze data, build reports, and drive actionable recommendations end-to-end to improve product, growth, AI, or partnerships.
Top Skills: ClickhouseGitJupyter HubMetabasePythonSQL

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account