Data Science Engineer

Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and low-rise non-residential buildings in North America. Headquartered in Cary, N.C., we serve residential and commercial customers across the new construction and Repair & Remodel (R&R) markets. Our market-leading portfolio of products spans vinyl windows, vinyl siding, stone veneer, metal roofing, metal wall systems and metal accessories. Cornerstone Building Brands’ broad, multi-channel distribution platform and expansive national footprint includes more than 18,800 team members at manufacturing, distribution and office locations throughout North America. Corporate stewardship and Environmental, Social and Governance (ESG) responsibility are embedded in our culture. We are committed to contributing positively to the communities where we live, work and play. For more information, visit us at cornerstonebuildingbrands.com The Data Science Engineer – Business Intelligence, Analytics & AI transforms enterprise data into actionable insights by designing, developing, and delivering scalable analytics solutions. This role partners with business stakeholders, leadership, data engineering, and technology teams to create trusted data products, optimize reporting processes, and deliver executive-ready analytics that support strategic decision-making, operational efficiency, and measurable business value. KEY RESPONSIBILITIES: Business Intelligence & Analytics Development Design, develop, and maintain Power BI dashboards, reports, scorecards, KPI frameworks, semantic models, datasets, and reusable business metrics that support enterprise reporting and decision-making. Translate business requirements into scalable, user-friendly analytics solutions with strong visual storytelling, performance, usability, and adoption. Deliver executive-ready analytics that clearly communicate insights to technical and non-technical audiences and drive measurable business outcomes. Data Modeling