Senior Staff Data Scientist

Job Description SummaryWhat if your code could help a power plant run cleaner, smarter, and more efficiently — at scale, in real time, anywhere in the world? At GE Vernova, we're building the digital intelligence layer that powers the energy transition, and we need someone who can bridge the world of thermal engineering with modern software.
As a Senior Data Scientist within our APM (Asset Performance Management) Performance Intelligence team, you'll design and build the analytics, models, and Edge-native applications that help our customers see exactly how their assets are performing — and what to do about it. This is a role for someone who wants to shape how industrial analytics evolve, not just maintain what already exists.

Job Description

What You'll Do

• Build and advance thermal performance analytics within the APM Performance Intelligence suite — covering heat-rate, efficiency, degradation monitoring, and operational performance for combined cycle power plants, gas turbines, steam cycles, and HRSGs (Heat Recovery Steam Generators).
• Design and deliver end-to-end integration across historian data services, analytics engines, engineering models, visualization applications, and Edge computing platforms that provide real-time, offline-capable plant performance insights.
• Develop, validate, and optimize Python-based thermal models — including component-level models leveraging frameworks such as TESPy — calibrating them against real plant operating data across design and off-design conditions.
• Architect scalable data flows between plant control systems, historians, Edge infrastructure, and cloud applications, ensuring secure, reliable Performance Intelligence deployments.
• Build intelligent automation and AI-assisted workflows that automate analytics execution, KPI (Key Performance Indicator) validation, diagnostics, and root cause analysis across Edge and cloud environments.
• Lead technical discussions, architecture reviews, and knowledge-sharing sessions across global engineering teams while mentoring colleagues on software development, thermal modeling, and Edge analytics best practices.
• Support customer deployments end-to-end — from configuration and integration testing through production support and post-deployment stabilization for both cloud and Edge environments.

Required

• A formal education and subsequent Bachelor's or Master's degree in Mechanical Engineering, Thermal Engineering, Power Engineering, Computer Science, or a related STEM (Science, Technology, Engineering, and Mathematics) field is nice to have, but we are most interested in your total experience and professional achievements.
• 8–12 years of experience in performance engineering, thermal engineering, power plant analytics, industrial software development, or a closely related engineering domain.
• Strong programming skills in Python, including experience building engineering applications, data processing pipelines, and scientific computing solutions.
• Solid grounding in thermodynamics, heat transfer, fluid mechanics, and power plant performance engineering principles.
• Experience with plant historian systems, time-series data processing, and industrial data integration platforms.
• Experience integrating engineering applications using REST (Representational State Transfer) APIs, microservices, and modern backend architectures.
• Proficiency with Git, Linux, Docker, containerization, and CI/CD (Continuous Integration/Continuous Delivery) pipeline practices.

Preferred

• Experience developing and deploying analytics on Edge platforms, including integration with cloud-based industrial software solutions.
• Familiarity with industrial communication protocols such as OPC-UA (Open Platform Communications – Unified Architecture), MQTT, or similar industrial IoT (Internet of Things) technologies.
• Knowledge of AI/ML (Artificial Intelligence/Machine Learning) techniques, digital twins, automation agents, or Generative AI applied to industrial or engineering use cases.

Additional Information

#LI-Remote - This is a remote positionApplication Deadline:

For candidates applying to a U.S. based position, the pay range for this position is between $123,200.00 and $205,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

Bonus eligibility: discretionary annual bonus.

This posting is expected to remain open for at least seven days after it was posted on August 18, 2026.

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.