Data Scientist

A01098 GE Vernova International LLC; South Carolina; On-site; USD 70,000 - 106,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Discretionary annual bonus

Relocation assistance

Job summary

GE Vernova is seeking an entry-level Data Scientist to partner with engineers and product teams, framing problems and preparing data for modeling. You will build and evaluate models, communicate results, and contribute to practical, rigorously-tested solutions in energy and industrial contexts.

The role targets a recent graduate with strong fundamentals and applied project work, offering exposure to renewables, data governance, and responsible AI practices within a large energy company.

Qualifications

• Bachelor's degree completed by the start date in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or related field.
• Foundational knowledge of statistics, probability, experimental design and ML concepts.
• Hands-on experience with Python or R through coursework, research, internships, or projects.
• Experience with 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 to both technical and non-technical audiences.
• Demonstrated problem-solving, collaboration, attention to detail and willingness to learn.

Responsibilities

• Frame analytical problems with stakeholders and define success criteria.
• Explore, clean, join and validate datasets; document assumptions and data quality issues.
• Build baseline and advanced models using statistics, ML, optimization or time-series methods.
• Compare models using performance metrics and assess uncertainty and robustness.
• Create visualizations, notebooks and presentations to explain methods and findings.
• Collaborate with Data Engineers and AI Engineers to move analyses toward repeatable solutions.
• Follow reproducible workflows and protect confidential information.

Skills

Statistics knowledge

Experiment design

Communication skills

Problem solving

Data interpretation

Education

Bachelor's degree in Data Science or related quantitative field

Tools

Python

R

SQL

Jupyter

Job description

Job Description Summary

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 who brings strong fundamentals, curiosity and evidence of applied project work.

What You Will Do

Partner with engineering and business stakeholders to translate a question into a clear analytical problem, success criteria and testable approach. Explore, clean, join and validate structured and unstructured datasets; document 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 clear 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. Continue developing domain knowledge in energy, engineering and industrial systems through hands-on work and mentorship.

Required Qualifications

• Bachelor's degree completed by the start date in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related quantitative field.


• 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 both technical and non-technical audiences.


• Demonstrated problem-solving, collaboration, attention to detail and willingness to learn.

Preferred Qualifications

• 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.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.

Equal Opportunity and Hiring Information

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Compensation and Benefits

For candidates applying to a U.S. based position, the pay range for this position is between $70,400.00 and $105,600.00. 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 candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus.

• Available benefits include 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;


• 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.

Relocation Assistance Provided: Yes

This posting is expected to remain open for at least seven days after it was posted on September 10, 2026.

About GE Vernova

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help 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. Together, we have The Energy to Change the World. www.gevernova.com

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 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.