Data Scientist – Grid Innovation Model Development (Energy Sector Experience Required)

Data Scientist – Grid Innovation Model Development at GE Vernova

We are looking for a passionate, creative, and results-driven Data Scientist with solid experience in validating AI/ML models, typically gained through at least 5 years working within the energy sector or related domains such as smart infrastructure or industrial automation. The ideal candidate has a strong track record of independently leading and delivering AI/ML model validation projects in complex, data-rich environments.

As part of our AI & Grid Innovation team, you will be at the forefront of testing, verifying, and validating cutting-edge AI/ML models specifically designed for grid innovation applications. You will play a key role in designing and building robust validation frameworks that ensure AI/ML solutions meet stringent accuracy, performance, and operational standards across both edge and cloud environments. This role reports to the AI Lead within the CTO organization and offers a unique opportunity to collaborate closely with Grid Automation product lines, R&D teams, product management, and other business units. You will contribute to creating impactful, sustainable, and inclusive solutions across energy systems, smart infrastructure, and industrial automation.

• Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications.
• Establish clear validation frameworks to ensure models meet required performance standards and business objectives.
• Establish test procedures to validate models with real and simulated grid data.
• Analyze model performance against real-world data to ensure accuracy, reliability, and scalability.
• Identify and address discrepancies between expected and actual model behavior, providing actionable insights to improve model performance.
• Implement automated testing strategies and pipelines to streamline model validation processes.
• Collaborate with Data Engineers and ML Engineers to improve data quality, enhance model performance, and ensure efficient deployment of validated models.
• Ensure that validation processes adhere to data governance policies and industry standards.
• Communicate validation results, insights, and recommendations clearly to stakeholders, including product managers and leadership teams.

• PhD, Master’s, or Bachelor’s degree in Data Science, Computer Science, Electrical Engineering, or a related field with hands-on experience in model validation.
• Proven experience in the energy, smart infrastructure, or industrial automation sectors, with deep expertise in system protection, automation, monitoring, and diagnostics, typically acquired through a minimum of 5 years within a multinational manufacturing company. Solid experience in validating AI/ML models, ensuring they meet business and technical requirements.
• Strong knowledge of statistical techniques, model performance metrics, and validation methodologies for AI/ML models.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Experience with data wrangling, feature engineering, and preparing datasets for model validation.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment of models in cloud environments.
• Experience with data visualization tools such as Tableau, Power BI, or similar to effectively present validation results and insights.

• Familiarity with big data tools and technologies, such as Hadoop, Kafka, and Spark.
• Familiarity with data governance frameworks and validation standards in the energy sector.
• Knowledge of distributed computing environments and model deployment at scale.
• Strong communication skills, with the ability to clearly explain complex validation results to non-technical stakeholders.

Relocation Assistance Provided: No

At GE Vernova Grid Solutions we electrify the world with advanced grid technologies. We focus on growth and sustainability and play a pivotal role in integrating renewables onto the grid to drive toward carbon neutrality. We help enable the transition for a greener, more reliable grid and offer a comprehensive product and solutions portfolio within the energy sector.

Our engineers tackle challenging, diverse projects and bring a solution-focused, positive approach. You will be part of a collaborative environment with committed colleagues, where your ingenuity and impact are valued.

A dynamic, international working environment with flexibility in work arrangements; competitive benefits and development opportunities, including private health insurance.

• Engineering and Information Technology
• Electric Power Generation

• Mid-Senior level
• Full-time

Note: This description reflects the job responsibilities and requirements at the time of posting and is subject to change.