GE Vernova Data Scientist

GE Vernova•Greenville, NC

7d•Onsite

About The Position

As an entry-level Data Scientist, you will work with engineers, data professionals and product teams to frame problems, prepare data, build and evaluate analytical or machine-learning models, and communicate results. You will contribute to practical solutions that are technically rigorous, understandable and ready to be used by the business. This role is designed for a recent graduate with strong fundamentals, curiosity and evidence of applied project work. The required work location is Greenville, South Carolina. Relocation assistance is available. The role requires access to U.S. export-controlled information; where applicable, final offers depend on the ability to obtain authorization from the U.S. Government. Unrestricted work authorization in the United States is required, and sponsorship will not be provided now or in the future. The U.S. pay range is $70,400 to $105,600, with geographic differentials of 110%, 120% or 130% in certain areas. Specific pay may depend on experience, education and skills. The role is eligible for a discretionary annual bonus. The posting was expected to remain open for at least seven days after October 27, 2026.

Requirements

A Bachelor's or Master's degree, completed by the start date, in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related quantitative field.
0–1 year of related experience in STEM.
Foundational knowledge of statistics, probability, experimental design and machine-learning concepts.
Hands-on experience with Python or R through coursework, research, internships, co-ops or independent projects.
Experience using common data analysis and visualization tools such as pandas, NumPy, scikit-learn, SQL, Jupyter, matplotlib, seaborn, Power BI or equivalents.
Ability to explain technical work clearly in writing and conversation to technical and non-technical audiences.
Demonstrated problem-solving, collaboration, attention to detail and willingness to learn.
Unrestricted work authorization in the United States; the company will not provide sponsorship now or in the future.
Ability to obtain U.S. Government authorization to access U.S. export-controlled information, if applicable.

Nice To Haves

Internship, co-op, research, capstone or portfolio experience applying analytics or machine learning to a real problem.
Exposure to cloud data platforms, distributed computing, data pipelines, Git, containers or ML lifecycle tools.
Experience with time-series, simulation, optimization, computer vision, natural language processing or generative AI.
Interest in renewable energy, physical systems, manufacturing or engineering applications.
Experience validating results with subject-matter experts and incorporating feedback into an improved solution.

Responsibilities

Partner with engineering and business stakeholders to translate questions into clear analytical problems, success criteria and testable approaches.
Explore, clean, join and validate structured and unstructured datasets, documenting assumptions, limitations and data-quality issues.
Build baseline and advanced models using statistical analysis, machine learning, optimization or time-series methods, as appropriate.
Compare models using relevant performance metrics and evaluate uncertainty, bias, robustness and generalization.
Create visualizations, notebooks and concise presentations that explain methods, findings and recommended actions.
Work with Data Engineers and AI Engineers to move useful analyses from prototypes toward reusable, monitored solutions.
Use version control, code review, testing and reproducible workflows to create maintainable analytical assets.
Protect confidential information and follow cybersecurity, data governance, intellectual property and Responsible AI requirements.
Develop domain knowledge in energy, engineering and industrial systems through hands-on work and mentorship.

Benefits

Medical, dental, vision and prescription drug coverage.
Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
Employee Assistance Program with 24/7 confidential assessment, counseling and referral services.
GE Vernova Retirement Savings Plan, including a tax-advantaged 401(k) savings opportunity with company matching 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.
Relocation assistance.
Discretionary annual bonus eligibility.