Senior Data Scientist jobs at Paypal in United States, New York

Essential Responsibilities:

• Develop and articulate clear objectives and implement strategies that deliver results and meet Financial goals
• Influence decision-making at the senior leadership level
• Perform the most highly complex credit and lending assessments using knowledge and extensive business expertise
• Develop and deliver innovative strategies that benefit customers and/or clients for financial success
• Lead major business projects which impact a business unit or entire function
• Design, evaluate, and select financial objectives based on thorough understanding of business needs and industry trends
• Lead others to solve issues of diverse scope

Expected Qualifications:

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.

Data Scientist Responsibilities

• Analyze and aggregate PayPal’s global loan data to provide comprehensive insights for internal stakeholders and investor reporting.
• Deliver analytics-driven support for financial model building, including cash flow analysis, credit risk assessment, and pricing strategies.
• Lead efforts in creating dashboards, reports, and presentation materials that communicate complex data and trends to executive leadership and investors.
• Enhance data pipelines and infrastructure to ensure scalable, accurate, and secure handling of high-volume, complex loan-level datasets.
• Develop, validate, and maintain robust financial and credit models used for ABS transaction structuring and portfolio monitoring.
• Collaborate closely with ABS counterparties, investment teams, and business units to provide timely analytics for deal execution and capital markets activities.
• Stay updated and implement industry best practices around structured finance analytics, data privacy, and regulatory compliance.
• Liaise with many cross functional teams on everything related to capital markets workstreams

Minimum Qualifications

• Minimum of 5 years of relevant experience, including extensive exposure to data and loan portfolio analytics
• Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Science, or related quantitative field; advanced degree preferred

Education

• Bachelor's or Master’s degree or higher in quantitative disciplines such as Mathematics, Statistics, Economics, Finance, Business Analytics, Engineering, or Data Science from accredited institutions.

Professional Experience & Skills

• 5+ years of experience in data analytics, structured finance, or credit risk management, preferably at a fintech company, investment bank, or hedge fund.
• Proven track record working with large-scale loan data across multiple asset classes, including ABS portfolios.
• Strong experience building and maintaining financial and credit risk models that support investment decisions and capital markets transactions.
• Proficiency in data management and analytics tools including SQL, Python, R, Tableau, Excel, and PowerPoint.
• Skilled in synthesizing complex datasets to derive meaningful insights with urgency and accuracy.
• Excellent project management skills, including the ability to drive results and influence cross-functional partners.
• Experience advising internal stakeholders and external investors with clear, compelling communication of analytical results.
• Demonstrated leadership in team development and mentorship, fostering high productivity and continuous learning.

Work Permit and Relocation Prerequisites

• Candidates must possess valid authorization to work in the country where the position is located.
• Relocation assistance is not provided for this role.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

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Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

Essential Responsibilities:

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

P

Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

Essential Responsibilities:

• Develop and implement the overall data science strategy, aligning with corporate goals and objectives.
• Lead the design and execution of advanced data science projects to support strategic decision-making.
• Collaborate with executive leadership to identify and prioritize data-driven opportunities.
• Oversee the development and maintenance of data infrastructure, ensuring scalability and efficiency.
• Ensure compliance with data privacy and security regulations.
• Drive innovation in data science practices and tools, staying ahead of industry trends.

Expected Qualifications:

• 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• 2 years of experience leading others

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

P

Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

Essential Responsibilities:

• Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
• Advises immediate management on project-level issues
• Guides junior engineers
• Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
• Applies knowledge of technical best practices in making decisions

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

• Proficiency in at least one functional programming language, preferably Scala and its TypeLevel ecosystem

• 5+ years of experience in designing and architecting scalable backend systems with a focus on cloud-native solutions, microservices, and serverless architectures.

• Expertise in designing and implementing fault-tolerant systems with a focus on high availability and disaster recovery.

• Experience with functional Effects libraries such as Cats-Effect or ZIO

• Experience with cloud platforms (AWS, GCP, Azure).

• Python development experience specially in a machine learning context

• Experience with using Agile/Scrum methodology for software development

• Experience with large-scale, high-performance systems.

• Knowledge of the Ad Tech & payment processing industry and relevant regulations.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $123,500 to $212,850

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Partner with Product, Marketing, and Sales teams to drive product commercial success
• Champion customer needs to ensure products address key pain points and deliver value
• Develop and execute go-to-market plans for new product launches and feature updates
• Build a deep understanding of markets, competitors, and regulatory landscapes to inform strategy
• Collaborate with client-facing teams to gather customer feedback and refine product positioning
• Support the launch of new markets and offers by coordinating with global and regional teams
• Lead the prioritization and execution of marketing campaigns to increase adoption and market share
• Provide expertise on product capabilities, value propositions, and best use cases
• Monitor product performance metrics and identify opportunities for growth and optimization
• Drive commercial readiness by developing positioning, messaging, and cross-channel launch strategies

Minimum Qualifications:

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualifications

• Bachelor’s degree in Marketing, Business, or related field; MBA preferred.

• 8–10 years of product marketing experience, with 5+ in leadership roles, ideally within tech, fintech, or commerce/digital payments

• Proven track record of launching and scaling commerce or payment products in competitive markets.

• Strong analytical skills with deep experience in market research, customer insights, and performance measurement.

• Exceptional communication and storytelling skills, able to translate complex commerce solutions into compelling narratives.

• Experienced in leading cross-functional initiatives in fast-paced, dynamic environments.

• People management experience, with a focus on coaching and developing high-performing teams.

• Passion for product, payments, and the evolving commerce landscape.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

P

Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

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:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

• 5+ years experience in developing and optimizing machine learning models using Python with TensorFlow, Keras, and/or PyTorch.
• Expertise in Graph Neural Networks (GNNs) for node and link prediction, graph embedding, and graph-based classification.
• Proven experience in customer segmentation and/or recommendation systems tailored to client needs.
• Work with transformer models (e.g., BERT, GPT) in real applications, particularly within GenAI workflows.
• 5+ years experience in building and maintaining scalable ML pipelines using tools such as Kubeflow, MLFlow, Vertex AI, and SageMaker.
• 5+ years experience in processing and analyzing very large datasets using Spark or similar frameworks.
• Working with vector databases (e.g., Pinecone) for embedding-based applications including search and similarity tasks.
• Utilize GCP Services to deploy models at scale, particularly BigQuery and Vertex AI.
• Experience with GraphRAG and Knowledge Augmented Generation (KAG).
• Knowledge of Deep Neural Networks, Multi-task Learning (MTL) and AdTech.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

P

Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

Essential Responsibilities:

• Develop and articulate a clear, compelling vision and strategy for the marketing function
• Provide key inputs as an industry leader and expert in marketing
• Inspire and lead the marketing team to achieve long-term success
• Align marketing strategies with PayPal-wide strategy and operations
• Drive innovation and continuous improvement in marketing practices
• Collaborate with executive leadership to ensure the marketing function supports overall business goals

Minimum Qualifications:

• Minimum of 18 years of relevant work experience and a Bachelor's degree or equivalent experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.