Data Scientist

GE Vernova

Greenville, United States

Full Time

Posted September 10, 2026

$70k - $70k

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 1, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

Job Description

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.

Key Responsibilities

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.

Requirements

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.
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 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).