You will collaborate closely with domain experts, product services, and monitoring & diagnostics teams to translate engineering problems into scalable analytics solutions using time-series data. This role provides an opportunity to build strong technical depth while working on high-impact industrial applications.Job Description
Key Responsibilities
Work with domain experts and cross-functional teams to understand equipment behavior, failure modes, and business requirements
Analyze large-scale time-series sensor data to identify patterns, trends, and anomalies
Develop, test, and deploy analytics for monitoring, diagnostics, and early warning systems
Support root cause analysis (RCA) by performing data analysis, validating hypotheses, and identifying affected unit populations
Build and maintain data pipelines, feature engineering workflows, and reusable components for analytics development
Develop visualizations and dashboards to communicate insights effectively to engineering and services teams
Contribute to fleet-level analytics to provide insights across multiple assets and improve risk identification
Ensure data quality, validation, and performance optimization of analytics solutions in production environments
Document methodologies, assumptions, and results clearly for broader team consumption
Desired Qualification
Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Computer Science, or related fields)
Strong foundation in mathematics, statistics, and data analysis
Proficiency in Python or similar programming language
Understanding of data structures, algorithms, and basic software development practices
Gas Power Edison Engineer; Completion of LPX, Teardown Training; Progress toward completion of Engineering Masters degree and/or ACE Certificate
Preferred Qualifications
Experience with time-series data analysis and signal processing
Exposure to machine learning or statistical modeling techniques
Familiarity with data analysis libraries (Pandas, NumPy, SciPy, etc.)
Experience with data visualization tools or libraries
Basic understanding of cloud platforms or data processing systems
Knowledge of industrial systems or equipment analytics is a plus
Key Skills & Attributes
Strong analytical and problem-solving skills
Ability to work with complex, ambiguous datasets and problem statements
Effective communication skills to translate technical insights into business impact
Collaborative mindset with ability to work across engineering and analytics teams
Proactive ownership and willingness to learn and adapt quickly
Impact
In this role, you will contribute to:
Early detection of equipment issues, reducing operational risk and downtime
Improved RCA effectiveness through data-driven insights
Development of scalable analytics that drive fleet-wide reliability improvements
Enhancing decision-making for engineering and services teams through actionable insights
Relocation Assistance Provided: Yes
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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