Material Science Engineer Jobs in Denton, TX (NOW HIRING)

Job Summary:
Qorvo, Inc. supplies innovative semiconductor solutions that make a better world possible. They are seeking a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value across the enterprise.
Responsibilities:
• Lead the architecture and implementation of production-grade data science and machine learning solutions, from problem framing through deployment and adoption.
• Build scalable data products, models, and decision-support tools using statistical methods, machine learning, optimization, and modern analytics engineering practices.
• Partner with business leaders, engineering, IT, manufacturing, quality, finance, and other cross-functional teams to identify high-value opportunities and prioritize work with clear business impact.
• Translate ambiguous business problems into structured analytical approaches, measurable success criteria, and deliverable roadmaps.
• Design and maintain reliable data pipelines, feature pipelines, experimentation frameworks, and model monitoring practices.
• Drive the responsible use of AI across the organization by developing reusable frameworks, templates, evaluation approaches, and best practices for enterprise adoption.
• Serve as a technical mentor to data scientists, analysts, and engineers; raise the bar on coding, experimentation, documentation, and stakeholder communication.
• Create executive-ready narratives, visualizations, and recommendations that connect technical findings to business outcomes.
• Partner with data platform and governance teams to ensure solutions meet requirements for security, compliance, and maintainability.
• Help shape standards for model lifecycle management, MLOps, analytics engineering, and AI solution delivery.
• Contribute to integration planning and enterprise analytics initiatives while following approved protocols for meetings, shared materials, data requests, and CSI/non-CSI handling where applicable. Project Comet guidance requires legally approved agendas for certain new cross-company meetings, use of the Data Request List for shared data, and routing potentially sensitive data through the appropriate review path or clean room process.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field.
• 8+ years of experience in data science, machine learning, analytics engineering, or data platform development, including experience delivering business-facing solutions in production.
• Strong programming skills in Python and SQL.
• Deep experience with statistical analysis, machine learning, feature engineering, model evaluation, and experimental design.
• Strong experience building data pipelines and working with modern data platforms and cloud analytics ecosystems.
• Demonstrated ability to own ambiguous, high-impact problems and drive them through to adoption.
• Experience partnering with senior stakeholders and influencing decisions across technical and non-technical groups.
• Strong written and verbal communication skills, including the ability to explain complex concepts clearly to executives and business partners.
• Proven ability to mentor others and lead technically without direct authority.
Preferred:
• Advanced degree in a quantitative or technical field.
• Experience in semiconductor, manufacturing, operations, supply chain, quality, or related industrial domains.
• Experience building and operationalizing AI/ML solutions at enterprise scale.
• Experience with MLOps, model monitoring, and deployment workflows.
• Experience with Databricks, Spark, orchestration tools, BI platforms, and modern software engineering practices.
• Familiarity with secure data environments and regulated data handling.
• Experience working in environments that require balancing innovation with compliance, governance, and business urgency.
• Exposure to enterprise AI enablement, internal tooling, or organization-wide adoption programs.
Company:
Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. Founded in 2015, the company is headquartered in Greensboro, USA, with a team of 5001-10000 employees. The company is currently Late Stage.