Sr Data Scientist
Role details
Job location
Tech stack
Job description
We are looking for a Senior Data Scientist to drive insights and optimization across merchant integrations and checkout experiences. This role sits at the intersection of data science, software systems, and AI, requiring a strong understanding of APIs/SDKs, user behavior, and experimentation.
You will analyze and improve end-to-end merchant and user journeys, design robust experiments, and leverage modern AI techniques to enhance insights and decision-making., * 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., * Analyze and optimize merchant integration performance, focusing on: Checkout conversion User behavioral lifecycle Merchant interactions with payment solutions
- Develop deep understanding of API- and SDK-based integrations to evaluate performance and identify friction points
- Design and execute experimentation frameworks: A/B testing Causal inference models Incrementality measurement
- Define and track key performance metrics (KPIs) across user and merchant journeys
- Partner with product, engineering, and business teams to translate data insights into actionable improvements
- Build scalable data models and pipelines to support analytics and experimentation
- Apply modern AI techniques (e.g., LLMs) to enhance: User behavior analysis Data interpretation Internal tooling and workflows, 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, Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
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.
Requirements
- 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., * Experience working with API-driven systems and SDK integrations
- Ability to analyze end-to-end product flows, especially in web or mobile checkout environments
- Strong understanding of user behavior and funnel analysis
Data Science & Statistical Expertise
- Strong foundation in: Probability and statistics Hypothesis testing and experimentation Causal inference and experimental design
- Proven experience designing and analyzing A/B tests and observational studies
AI / Modern Data Science Tools
- Experience with: Prompt engineering for LLM-based applications RAG (Retrieval-Augmented Generation) architectures Vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) Frameworks such as LangChain, LlamaIndex, or similar
Programming & System Design
- Strong proficiency in Python
- Experience with: ML/AI frameworks (PyTorch, TensorFlow, Hugging Face) Data processing (Pandas, NumPy, Spark) Backend/API development (FastAPI or similar)
- Solid understanding of distributed systems and scalable architecture
Preferred Qualifications
- Experience in payments, e-commerce, or platform ecosystems
- Familiarity with merchant onboarding or integration workflows
- Experience working with large-scale behavioral data
- Exposure to LLMOps or production AI systems
What Success Looks Like
- Improved checkout conversion and user engagement metrics
- Clear identification of integration bottlenecks and optimization opportunities
- Statistically rigorous insights that drive product and business decisions
- Effective use of AI tools to accelerate analysis and innovation
Benefits & conditions
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.