Principal Data Scientist

Role Overview

• 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

Requirements

• Master’s degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, or a related quantitative field
• 10+ years of experience in 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

Benefits

• medical, dental, vision, and prescription drug coverage
• access to Health Coach from GE Vernova, a 24/7 nurse-based resource
• access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
• GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
• access to Fidelity resources and financial planning consultants
• tuition assistance
• adoption assistance
• paid parental leave
• disability benefits
• life insurance
• 12 paid holidays
• permissive time off