Data Scientist

GE Vernova • Greenville, SC

29d • $70,400 - $105,600

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

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.

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 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.

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
• Relocation Assistance Provided

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level