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Data Scientist - Grid Innovation Model Development

GE Vernova
Stafford
1 month ago
Applications closed

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Job Description Summary

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. Together, you will contribute to creating impactful, sustainable, and inclusive solutions across energy systems, smart infrastructure, and industrial automation.


Job Description

Essential Responsibilities:



  • 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 pipeline 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.

Must-Have Requirements



  • 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.

Nice-to-Have Requirements:



  • 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.

At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.


About GEV Grid Solutions

At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.


Why we come to work

At GEV, our engineers are always up for the challenge - and we\'re always driven to find the best solution. Our projects are unique and interesting, and you\'ll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you\'ll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.


What we offer

A key role in a dynamic, international working environment with a large degree of flexibility of work agreements


Competitive benefits, and great development opportunities - including private health insurance.


Additional Information


Relocation Assistance Provided: No


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