Data Scientist Model Risk Management jobs at Paypal in United States, Austin
PayPal Data Product Manager United States, Texas, Austin
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What you need to know about the role
Martech DataProduct Manager roleresidesin CTO (Chief Technology Office) organization withintheEnterprise Systems & Employee Technology(TPX
In this role, you will help shape the future of customer-centric marketing by building and scaling a 360-degree view of the customer using Adobe Experience Platform (AEP)and Real-Time CDP
As the Martech Data Product Manager, you will enable seamless integration, activation, and optimization of customer data, empowering marketing teams to deliver personalized experiences across multiple channels.
Martechteamis responsible forthe platforms and experiences that drive PayPal Lifecycle Marketing Communication activities touching millions of customers worldwide.The team is on a transformational journey toconsolidateand operationalize disparate tools onto an ecosystem that effectively supports Data, Decisioning, Omni-channel Delivery and Measurement capabilities.
are responsible forideation, technology assessment, and adhering to Agile Development methodologies from Intake to Deployment for all marketing needs.
As aData Product Managerfor Marketing Technology, you will drive strategy & roadmap and own the360 view of the customerthat will beused to driveB2B & B2Cmarketing experiences
leveragingyourexpertise
As theowner of theMarketing Customer Profile, you will champion data quality, adherence to governance standards, and innovative integrations that unlock possibilities for personalized marketing.
Your day-to-day
: Partner with cross-functional teams to design, implement, and manage customer data workflows within the Adobe Experience Platform(AEP) andReal-Time CDP
Requirement Gathering
Data Mapping & Transformation: Analyze data sets, define mapping and transformation logic, and ensure seamless ingestion and enrichment processes in AEP.
Data Governance & Quality Assurance: Conduct regular audits to ensure data accuracy, compliance, and alignment with organizational standards.
Testing & Validation: Collaborate with QA teams to create robust test cases andvalidatedata integrations foroptimalfunctionality and performance.
: Create andmaintaincomprehensive documentation for workflows, data dictionaries, entity relationships, and integration processes.
What do you need to bring
Bachelor's degree in Computer Science, Marketing, Data Science, or a related field.
At least5years of experience as Product Manager,Data Product Owner,ora Business Analystfocusing on customer data,Martech, or data platforms.
andReal-Time CDP, and a solid understanding of data integration processes.
Experience working with CRM systems (e.g., Salesforce), analytics tools (e.g., Google Analytics, Adobe Analytics), and digital marketing technologies.
proficiencyin SQL, data analysis, and data visualization platforms (e.g., Tableau, Power BI).
expertiselevels.
Exceptional problem-solving skills, attention to detail, and a proactive attitude.
Familiarity with data privacy regulations (e.g., GDPR, CCPA) and best practices for managing customer data.
Bonus: Experience with agile methodologies, project management, and industry-specific trends in marketing and data governance.
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Data Scientist Model Risk Management United States, Texas, Austin
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Job Description:
You will make an impact by:
- Protecting PayPal’s financial health and reputation by ensuring models are accurate and reliable under most scenarios.
- Ensuring PayPal's models comply with regulatory requirements.
- Exploring and creating cutting-edge agentic AI technologies to automate processes and drive efficiency.
- Provide support to the team lead in managing oversight of high-impact AI applications and models deployed across diverse business areas, such as fraud detection, credit underwriting, and marketing.
- Perform quantitative and qualitative model validation in accordance with the Model Risk Management Policy to evaluate and mitigate model risk concerns.
- Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements.
- Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal’s AI applications are compliant with ever evolving regulatory expectation.
- Research the agentic AI field to help PayPal improve its risk detection and mitigation processes.
You will bring:
- An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering, is required.
- Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs,XGBoost, CNNs/RNNs,LLM).
- Strong proficiency in programming and big data technologies, including Scikit-learn (Python), TensorFlow, Hadoop, Spark, SQL, and similar frameworks.
- Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry is preferred.
- Demonstrated ability to excel in both independent tasks and collaborative team settings.
- Effective communication skills for fostering positive relationships with stakeholders.
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
What you need to know about the role
Martech DataProduct Manager roleresidesin CTO (Chief Technology Office) organization withintheEnterprise Systems & Employee Technology(TPX
In this role, you will help shape the future of customer-centric marketing by building and scaling a 360-degree view of the customer using Adobe Experience Platform (AEP)and Real-Time CDP
As the Martech Data Product Manager, you will enable seamless integration, activation, and optimization of customer data, empowering marketing teams to deliver personalized experiences across multiple channels.
Martechteamis responsible forthe platforms and experiences that drive PayPal Lifecycle Marketing Communication activities touching millions of customers worldwide.The team is on a transformational journey toconsolidateand operationalize disparate tools onto an ecosystem that effectively supports Data, Decisioning, Omni-channel Delivery and Measurement capabilities.
are responsible forideation, technology assessment, and adhering to Agile Development methodologies from Intake to Deployment for all marketing needs.
As aData Product Managerfor Marketing Technology, you will drive strategy & roadmap and own the360 view of the customerthat will beused to driveB2B & B2Cmarketing experiences
leveragingyourexpertise
As theowner of theMarketing Customer Profile, you will champion data quality, adherence to governance standards, and innovative integrations that unlock possibilities for personalized marketing.
Your day-to-day
: Partner with cross-functional teams to design, implement, and manage customer data workflows within the Adobe Experience Platform(AEP) andReal-Time CDP
Requirement Gathering
Data Mapping & Transformation: Analyze data sets, define mapping and transformation logic, and ensure seamless ingestion and enrichment processes in AEP.
Data Governance & Quality Assurance: Conduct regular audits to ensure data accuracy, compliance, and alignment with organizational standards.
Testing & Validation: Collaborate with QA teams to create robust test cases andvalidatedata integrations foroptimalfunctionality and performance.
: Create andmaintaincomprehensive documentation for workflows, data dictionaries, entity relationships, and integration processes.
What do you need to bring
Bachelor's degree in Computer Science, Marketing, Data Science, or a related field.
At least5years of experience as Product Manager,Data Product Owner,ora Business Analystfocusing on customer data,Martech, or data platforms.
andReal-Time CDP, and a solid understanding of data integration processes.
Experience working with CRM systems (e.g., Salesforce), analytics tools (e.g., Google Analytics, Adobe Analytics), and digital marketing technologies.
proficiencyin SQL, data analysis, and data visualization platforms (e.g., Tableau, Power BI).
expertiselevels.
Exceptional problem-solving skills, attention to detail, and a proactive attitude.
Familiarity with data privacy regulations (e.g., GDPR, CCPA) and best practices for managing customer data.
Bonus: Experience with agile methodologies, project management, and industry-specific trends in marketing and data governance.
Any general requests for consideration of your skills, please
These jobs might be a good fit
