דרושים Staff Data Scientist ב-Paypal ב-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:

• 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 plans to enhance the user and customer experience across the digital and physical products and meet team performance
• Perform more-complex customer experiences that require highly specialized user interface and product design knowledge and advanced business expertise
• Lead some projects or programs within the product function and may coordinate activities of others
• Design process, product, and service improvements based on understanding of business needs and industry trends
• Determine methods and procedures on new assignments that may impact activities of others
• Analyze business trends to inform user experience strategies and initiatives.
• Collaborate with stakeholders to ensure user needs are prioritized in design processes.

Minimum Qualifications:

• Minimum of 8 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 .

P

Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

Job Description:

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 .

The U.S. national annual pay range for this role is

Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

Job Description:

Minimum Requirements: Master’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.A/B Testing or hypothesis testing (4 years)

2.SQL (5 years)

3.Python (4 years)

4.Data Visualization – Tableau (2 years)

5.Data Visualization – Looker (2 years)

6.Big Query (4 years)

7.Presto (2 years)

8.Product Analytics (4 years)

9.Causal Inferencing (2 years)

10.Statistical Modeling (4 years)

11.Regression Modeling (2 years)

12.Working with large, complex and messy datasets (5 years)

13.Define, measure and monitor key business and product KPIs (4 years)

14.Partnering with leadership, engineers, product managers and data engineers to understand business needs and how these can be addressed through analytics (4 years)

Additional Job Description:

Salary: $170,373-241,800 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

Our Benefits:

Any general requests for consideration of your skills, please