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Data Scientist SAP BRIM

Remote / Online - Candidates ideally in
Boiling Springs, Cumberland County, Pennsylvania, 17007, USA
Listing for: BVA Bear's IT Solutions
Full Time, Remote/Work from Home position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Scientist
Job Description & How to Apply Below

Benefits

  • Health insurance

BVA Bears IT Solutions is seeking an SAP BRIM
-Data Scientist to work in the Middletown, PA area. This is a full time position with at least 2 days on-site and possibly 3 days remote.

As an SAP BRIM-Data Scientist, you will design and implement advanced analytics, predictive models, and machine learning solutions leveraging SAP Billing and Revenue Innovation Management (BRIM) and SAP S/4

HANA data. This role focuses on extracting insights from high-volume subscription, usage, and billing data to optimize revenue processes, detect anomalies, and support strategic decision-making. The Data Scientist collaborates with architects, data engineers, and business teams to deliver secure, scalable, and compliant analytics solutions aligned with SAP best practices.

Key Responsibilities
  • Data Analysis & Modeling
  • 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.
  • Data Engineering & Integration
  • Work with data engineers to design pipelines for extracting and transforming SAP BRIM data.
  • Ensure data quality and integrity across SAP and external sources.
  • Implement feature engineering and model training workflows using SAP BTP and integrated platforms.
  • Visualization & Reporting
  • Build dashboards and visualizations in SAP Analytics Cloud (SAC) for actionable insights.
  • Present findings to stakeholders and support data-driven decision-making.
  • Compliance & Security
  • Ensure analytics processes comply with PCI DSS, SOC1/SOC2, and Commonwealth IT security standards.
  • Apply encryption, secure storage, and role‑based access for sensitive data.
  • Collaboration & Documentation
  • Document models, algorithms, and data flows using Commission‑approved templates.
  • Collaborate with business analysts and SMEs to align analytics outputs with functional requirements.
Qualifications
  • Education:

    Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
  • Experience:

    5+ years in data science and analytics within enterprise systems.
  • Hands‑on experience with SAP BRIM and S/4

    HANA data structures.
  • Expertise in predictive modeling, machine learning, and statistical analysis.
Skills
  • 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.
Preferred Skills
  • SAP BRIM certifications (BR235/240/245/416).
  • Experience with utilities or transportation industry data models.
  • Knowledge of advanced ML techniques and integration with SAP environments.
  • Familiarity with Agile/Hybrid methodologies and tools like ADO/JIRA.
U.S. Citizenship Requirement

This position is restricted to U.S. citizens only in accordance with federal contract requirements. Applicants must provide proof of U.S. citizenship (such as a U.S. passport, birth certificate, or Certificate of Naturalization) prior to employment. Non‑citizens, including lawful permanent residents (Green Card holders), are not eligible for this role.

Equal Employment Opportunity

BVA Bears IT Solutions is committed to providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetic information, military/veteran status, or any other characteristic protected by law.

Flexible work from home options available.

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