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Job Summary:
As PayPal continues its mission to revolutionize commerce, we are seeking a Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will help drive profitable growth across our consumer product portfolio by transforming complex data into actionable insights that inform strategic decisions and deliver measurable business impact.
This is an opportunity for a business-oriented data scientist who combines strong technical expertise with sound business judgment. You will partner closely with cross-functional stakeholders, apply advanced analytical methods to challenging business problems, and help shape decisions that drive growth, engagement, and long-term customer value. 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 identifying where the greatest untapped growth opportunities lie.
The team drives business outcomes through advanced analytics, customer segmentation, funnel analysis, experimentation, and causal inference. We are a close-knit group of intellectually curious, technically rigorous data scientists who take pride in delivering clear narratives to senior leadership and measurable business impact.
Your Way to Impact
In this role, you will help drive profitable growth across PayPal’s consumer product portfolio by transforming data into actionable insights that influence strategic decisions. Your work will directly shape business performance by delivering rigorous analyses, scalable data science solutions, and recommendations that help teams make better decisions and create lasting value for our customers.
Your Day to Day
Lead deep-dive analyses that uncover the drivers behind business performance, diagnose unexpected trends, challenge assumptions, and identify 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 evolve customer segmentation frameworks that reveal behaviorally distinct consumer cohorts and translate those insights into targeted growth strategies.
Analyze how consumer behavior evolves across PayPal’s product ecosystem, quantifying the impact of cross-product engagement on activation, retention, monetization, and customer value.
Monitor key consumer funnel metrics across products, customer segments, and geographies, identifying trends, risks, and growth opportunities.
Develop business cases and opportunity-sizing analyses to support growth initiatives and strategic investments.
Lead analytical projects from problem definition through recommendation, ensuring insights are actionable, timely, and aligned with business priorities.
Partner closely with Product, Commercial, Marketing, and Finance teams to inform decision-making and influence strategy.
Serve as a trusted analytical partner to stakeholders by translating complex analyses into clear, actionable recommendations.
Leverage AI-assisted tools and modern analytical workflows—including LLM-based technologies such as Claude, Claude Code, ChatGPT, or similar platforms—to accelerate analysis, automate recurring workflows, and scale insight delivery.
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.
Significant experience in data science, analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.
Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.
Demonstrated experience applying advanced analytical methods—including machine learning, causal inference, synthetic controls, or difference-in-differences—in a business context.
Experience developing and deploying analytical models in research and production environments.
Experience presenting findings and recommendations to business stakeholders, including senior leaders.
Proficiency in visualization and reporting tools such as Tableau or Looker, with the ability to produce executive-ready presentations.
Strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.
Ability to work proactively and independently in a fast-paced environment, managing competing priorities and bringing structure to complex business challenges.
The Traits to Exceed
You are proactive, intellectually curious, and enjoy solving complex business problems while continuously learning and improving. 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:
Are comfortable working in evolving and ambiguous environments, bringing clarity to complex business challenges.
Demonstrate intellectual curiosity and consistently go beyond the immediate question to uncover the insight that matters most.
Have a track record of translating rigorous analytical work into measurable business outcomes.
Embrace modern AI-enabled ways of working, using LLMs and intelligent automation tools to improve productivity and scale impact.
Communicate complex ideas clearly and confidently to audiences at all levels of the organization.
We Believe in You
Interested? Don’t hesitate to apply and let's talk — we’d love to get to know you!