Principal Data Scientist

GE Vernova

Principal Data Scientist leading AI/ML strategy across Power Data Science & Artificial Intelligence at GE Vernova. Responsible for establishing standards and mentoring teams to ensure production-ready outcomes.

Posted 4/29/2026full-timeAtlanta • 🇺🇸 United StatesLead💰 $138,700 - $231,000 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIMLGenAIdata scienceadvanced analyticsexploratory data analysisstatistical modelingoptimizationfeature engineeringmodel lifecycle management

Soft Skills

leadershipmentoringcollaborationinfluenceinnovationcommunicationstrategic thinkingproblem-solvingdecision-makingcontinuous learning

Certifications

Master’s degreePhD