Data Scientist leading BI and ML modeling projects for PayPal’s Risk and Core Platforms. Collaborating with cross - functional teams to deliver scalable, data - driven solutions and insights.
About the role
- SAP BRIM Data Scientist analyzing high-volume billing data for insights and optimization. Collaborating with teams to implement predictive models and ensure data security standards.
Responsibilities
- Design and implement advanced analytics, predictive models, and machine learning solutions leveraging SAP Billing and Revenue Innovation Management (BRIM) and SAP S/4HANA data
- Extract insights from high-volume subscription, usage, and billing data to optimize revenue processes, detect anomalies, and support strategic decision-making
- Collaborate with architects, data engineers, and business teams to deliver secure, scalable, and compliant analytics solutions aligned with SAP best practices
- Analyze SAP BRIM data (SOM, CI, CC) to identify trends, anomalies, and optimization opportunities
- Develop predictive models for usage forecasting, revenue projections, and churn analysis
- Apply machine learning techniques for fraud detection, dispute prediction, and dynamic pricing strategies
- Work with data engineers to design pipelines for extracting and transforming SAP BRIM data
- Ensure data quality and integrity across SAP and external sources
- Build dashboards and visualizations in SAP Analytics Cloud (SAC) for actionable insights
- Present findings to stakeholders and support data-driven decision-making
- Ensure analytics processes comply with PCI DSS, SOC1/SOC2, and Commonwealth IT security standards
- Document models, algorithms, and data flows using Commission-approved templates
- Collaborate with business analysts and SMEs to align analytics outputs with functional requirements
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field
- 5+ years in data science and analytics within enterprise systems
- Hands-on experience with SAP BRIM and S/4HANA data structures
- Expertise in predictive modeling, machine learning, and statistical analysis
- Proficiency in Python/R, SQL, and SAP Analytics Cloud
- Familiarity with SAP BTP for event-driven data processing and API integration
- Strong understanding of data governance and compliance frameworks
- SAP BRIM certifications (BR235/240/245/416) preferred
- Experience with utilities or transportation industry data models preferred
- Knowledge of advanced ML techniques and integration with SAP environments preferred
- Familiarity with Agile/Hybrid methodologies and tools like ADO/JIRA preferred
- U.S. Citizenship Requirement: Proof of U.S. citizenship is required.
Benefits
- Health insurance
- Flexible work from home options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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