PayPal Logo

PayPal

Sr Data Scientist

Posted 9 Days Ago
Be an Early Applicant
In-Office
New York City, NY, USA
170K-334K Annually
Senior level
In-Office
New York City, NY, USA
170K-334K Annually
Senior level
Lead large-scale data mining, modeling, and machine learning efforts to generate actionable insights that mitigate risk and improve customer experience. Build dashboards and reports (Tableau/Looker), ensure data quality, and partner with stakeholders to operationalize analytics and track key business metrics.
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 Sr Data Scientist in New York, NY

Job Duties: Conduct large-scale data mining and modeling to transform raw data into actionable insights that help mitigate risk. Combine data modeling and insights to build a model and strategy that helps improve customer experience. Extract and analyze information from large structured and unstructured datasets using data-oriented programming languages such as SQL and Python. Build reports, visualize and summarize data findings, and draw interpretations for optimization of dispute processes using visualization software such as Tableau, Looker. Plan, direct, or coordinate activities for data analysis, building reports, and interpretations. Identify key metrics and drive the building of exec-facing dashboards to track the progress of the business and its highest-priority initiatives. Ensure data quality and integrity through regular audits and validation processes. Partial telecommuting permitted from within a commutable distance.

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

Special Skill Requirements:

1.              Experience in using data findings and interpretations to optimize business processes (2 years).

2.              Experience in extracting insights and making informed decisions using data science knowledge (2 years).

3.              Experience in developing techniques using data analysis to combine business needs with data into actionable insights (2 years).

4.              Experience in creating and implementing the long-term goals and business strategies for teams and organizations (2 years).

5.              Experience in summarizing and visualizing data, and building reports using visualization software such as Tableau (2 years).

6.              Experience in extracting and analyzing information from large structured and unstructured datasets using data-oriented programming languages such as SQL (2 years).

7.              Experience in data modeling and insights to build models and strategy that help improve customer experience (2years).

8.              Experience in machine learning techniques to build machine learning models (2 years).

9.              Experience in data analytical tools to store, analyze, and manage data (1 year).

10.           Experience in conducting large data mining and modeling to drive insights on data that help mitigate risk (1 year).


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: 

New York, NY | Salary: $169,541.00-333,500.00 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.

Notice to Applicants and Employees who reside within New York City. Click here to view the notice.

Similar Jobs

9 Hours Ago
In-Office
Manhattan, NY, USA
121K-162K Annually
Senior level
121K-162K Annually
Senior level
Gaming
Lead web and marketing analytics: define tracking specs, implement and validate scalable tracking, join web and game data, build dashboards and reports, deliver campaign-level insights, measure feature effectiveness, and partner with stakeholders to make data actionable.
Top Skills: BigQueryCSSDatabricksGoogle Analytics 4Google Data StudioGoogle Tag ManagerHTMLHttp RequestsJavaScriptPysparkSQLTableau
9 Hours Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead development and deployment of large-scale LLM and GenAI solutions for cybersecurity. Drive research strategy, model training, evaluation, safety/red-teaming, and cross-functional productization. Mentor data scientists, set technical standards, and represent the team through publications and thought leadership.
Top Skills: Cloud TechnologiesDeep Learning FrameworksGenerative AiGpu TechnologiesLlmsPython
19 Minutes Ago
Remote or Hybrid
United States
132K-166K Annually
Senior level
132K-166K Annually
Senior level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
The Senior Data Scientist partners with Customer Success to perform deep-dive analyses, diagnose metric shifts, build predictive models (churn/upsell), apply causal inference and experimentation, measure business impact, and develop AI/LLM solutions. Responsibilities include self-serving across the data stack for extraction, pipelining, and dashboards, defining KPIs, and delivering actionable insights to reduce churn, drive revenue, and improve operational efficiency.
Top Skills: Ai/LlmAirflowDbtPythonSigmaSQLTableau

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account