Job Description Summary
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, helping our customers power economies and deliver vital electricity for health, safety, security, and quality of life. Are you excited about electrifying and decarbonizing the world?
We are seeking a highly skilled Data Scientist - Validation to join our team, focusing on validating AI/ML models for grid innovation applications. This role involves testing, validation, and verification of AI/ML models with grid data to ensure they meet accuracy, performance, and operational standards within energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions.
The ideal candidate will have experience in the energy sector, particularly in energy systems and grid automation, or related domains such as smart infrastructure or industrial automation. They should have a strong understanding of applying data science and engineering techniques to develop, validate, and improve AI/ML models in complex, data-rich environments.
Job Responsibilities
* Design and conduct experiments to test and validate AI/ML models in energy systems and grid automation.
* Establish validation frameworks to ensure models meet performance standards and business objectives.
* Develop test procedures to validate models with real and simulated grid data.
* Analyze model performance to ensure accuracy, reliability, and scalability.
* Identify discrepancies and provide insights to improve models.
* Implement automated testing strategies and pipelines for model validation.
* Collaborate with Data and ML Engineers to improve data quality and deployment processes.
* Ensure validation processes adhere to data governance and industry standards.
* Communicate validation results and insights to stakeholders effectively.
Must-Have Requirements
* Degree in Data Science, Computer Science, Electrical Engineering, or related field with experience in model validation.
* Experience in the energy sector, especially in energy systems and grid automation.
* Proven experience validating AI/ML models meeting business and technical requirements.
* Strong knowledge of statistical techniques, performance metrics, and validation methodologies.
* Proficiency in Python, R, or MATLAB.
* Experience with data wrangling, feature engineering, and dataset preparation.
* Familiarity with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn.
* Experience with cloud platforms (AWS, Azure, GCP) and model deployment.
* Ability to present validation results using visualization tools like Tableau or Power BI.
Nice-to-Have Skills
* Knowledge of big data tools (Hadoop, Kafka, Spark).
* Understanding of data governance and validation standards in energy.
* Experience with distributed computing and large-scale deployment.
* Strong communication skills for explaining complex results to non-technical stakeholders.
Join GE Vernova - Grid Automation to work on innovative projects shaping the future of energy. We offer a collaborative environment, impactful work, and growth opportunities.
About GEV Grid Solutions
We are electrifying the world with advanced grid technologies, focusing on a more energy-efficient and renewable-integrated grid to achieve carbon neutrality. Our comprehensive product portfolio supports the energy transition towards a greener, more reliable grid.
Why Work Here
Our engineers thrive on challenges, bringing solutions to diverse and impactful projects. Be part of a committed team and contribute to the energy transition with your ingenuity and drive.
What We Offer
* Flexible, international working environment
* Competitive benefits, including private health insurance
Additional Information
Relocation Assistance Provided: No
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