Senior Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance thermal performance analytics within the APM Performance Intelligence suite.

• Address heat-rate, efficiency, degradation monitoring, and operational performance for combined cycle power plants, gas turbines, steam cycles, and HRSGs.

• Design and implement comprehensive integration across historian data services, analytics engines, engineering models, visualization applications, and Edge computing platforms.

• Create, validate, and optimize Python-based thermal models, including component-level models using frameworks like TESPy.

• Calibrate thermal models utilizing real plant operating data across both design and off-design conditions.

• Architect scalable data flows among plant control systems, historians, Edge infrastructure, and cloud applications.

• Ensure secure and dependable Performance Intelligence deployments.

• Develop intelligent automation and AI-assisted workflows for analytics execution, KPI validation, diagnostics, and root cause analysis.

• Facilitate technical discussions, architecture reviews, and knowledge-sharing sessions across global engineering teams.

• Guide colleagues in software development, thermal modeling, and Edge analytics best practices.

• Assist customer deployments from configuration and integration testing through to production support and post-deployment stabilization in cloud and Edge environments.

⛳️ Requirements

• 8–12 years of experience in performance engineering, thermal engineering, power plant analytics, industrial software development, or a closely related engineering field.

• Proficient programming skills in Python.

• Experience in creating engineering applications, data processing pipelines, and scientific computing solutions.

• Strong foundational knowledge in thermodynamics, heat transfer, fluid mechanics, and principles of power plant performance engineering.

• Familiarity with plant historian systems, time-series data processing, and industrial data integration platforms.

• Experience in integrating engineering applications using REST APIs, microservices, and contemporary backend architectures.

• Proficient with Git, Linux, Docker, containerization, and CI/CD pipeline practices.

• Legally authorized to work in the United States.

• Successful completion of a drug screen, if applicable.

• Bachelor's or Master's degree in a related STEM field is preferred but not mandatory.

• Preferred: experience in developing and deploying analytics on Edge platforms.

• Preferred: familiarity with OPC-UA, MQTT, or similar industrial IoT technologies.

• Preferred: knowledge of AI/ML techniques, digital twins, automation agents, or Generative AI applied to industrial or engineering use cases.

🏝️ Benefits

• Competitive compensation.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Prescription drug coverage.

• Access to a Health Coach.

• Employee Assistance Program.

• GE Vernova Retirement Savings Plan.

• 401(k) savings opportunity with company matching contributions.

• Company retirement contributions.

• Fidelity resources and financial planning consultants.

• Tuition assistance.

• Adoption assistance.

• Paid parental leave.

• Disability benefits.

• Life insurance.

• 12 paid holidays.

• Flexible time off.

• Opportunities for professional development.

• Note: No relocation assistance is provided.