Job Description Summary

The Principal Data Scientist is a senior technical leader responsible for defining and executing enterprise-wide Artificial Intelligence / Machine Learning strategy across the Power Data Science & Artificial Intelligent (DS&AI) organization. This role elevates the impact of the data science function by establishing best-in-class standards for modeling experimentation and robust algorithm design while mentoring and guiding teams toward high-quality production-ready outcomes.
As a hands-on leader this role architects and delivers accurate robust and production-grade data science GenAI and ML algorithms and methods that drive measurable business value and accelerate digital transformation initiatives.
The Principal Data Scientist collaborates closely with business engineering product and solution architecture teams to integrate advanced analytics ML and GenAI capabilities into core workflows products and enterprise decision-making. This role combines deep technical expertise with strong business acumen to lead complex cross-functional initiatives from ideation through scalable enterprise-wide adoption.

Job Description

Roles and Responsibilities

• Serves as a senior technical and strategic leader defining and executing enterprise-wide AI/ML and GenAI algorithms and methods aligned with Power business priorities and digital transformation goals.
• Elevates the impact of the data science organization by establishing best-in-class standards accurate & robust solutions and driving measurable business value through advanced analytics.
• Defines and enforces standards for modeling exploratory data analysis (EDA) experimentation evaluation and responsible AI.
• Establishes best practices for reproducibility versioning validation and model lifecycle management.
• Sets high expectations for code quality documentation and scalable solution design across the data science community.
• Leads technical design reviews and governance for high-impact AI/ML and GenAI initiatives.
• Ensures solutions balance technical rigor with scalability maintainability operational feasibility and measurable business value.
• Drives continuous model performance improvements through structured experimentation feature engineering model selection tuning and monitoring.
• Guides teams in selecting appropriate methodologies architectures and tools for complex ambiguous problem spaces.
• Drives a culture of scientific rigor by establishing clear hypotheses baselines and success metrics.
• Standardizes experimentation practices to ensure results are reproducible comparable and decision-ready.
• Partners with business engineering product and solution architecture teams to embed advanced analytics machine learning and GenAI into core workflows products and decision-making.
• Shapes enterprise data science capabilities including reusable assets accelerators and scalable patterns such as GenAI and RAG based solutions.
• Influences platform tooling and architectural decisions in collaboration with data and engineering teams.
• Partners with data engineering and domain teams to ensure fit-for-purpose data across structured and unstructured sources.
• Embeds EDA and data readiness as foundational steps in the AI development lifecycle.
• Establishes and enforces standards for model governance monitoring auditability and risk management.
• Identifies and mitigates risks related to model deployment data dependencies and operational performance.
• Acts as a thought leader on emerging AI/ML and GenAI trends translating innovation into practical enterprise applications.
• Incubates new approaches pilots emerging capabilities
• Mentors and develops data scientists strengthening technical depth and leadership capability.
• Fosters a culture of innovation collaboration and continuous learning within the organization.
• Enables teams to operate independently by providing clear standards frameworks and decision guidelines.

Required Qualifications

• Masters degree or PhD in Data Science Computer Science Statistics Applied Mathematics Engineering Operations Research or a related quantitative field.
• 10 years of experiencein data science machine learning advanced analytics or AI solution development with a significant portion in enterprise or industrial environments.
• Proven track record of leading large-scale high-impact AI/ML initiatives from strategy through deployment and business adoption.
• Deep expertise in machine learning statistical modeling optimization and data-driven decision systems.
• Strong experience developing and deploying production-grade AI/ML solutions in collaboration with engineering and product teams.
• Demonstrated ability to influence senior leaders and work effectively across complex matrixed organizations.
• Experience mentoring technical teams and leading through influence rather than direct authority.

Desired Characteristics

• Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document plan market and execute programs. Established project management skills.

Additional Information

For candidates applying to a U.S. based position the pay range for this position is between $138700.00 and $231000.00. 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 candidates 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 April 29 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.