GE Vernova Data Scientist

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

Benefits offered by this job

Relocation assistance

Discretionary annual bonus

Job summary

GE Vernova, Inc. in Greenville, SC is seeking an entry-level Data Scientist who will work with engineers, data professionals and product teams to frame problems, prepare data, and build and evaluate analytical or machine-learning models.

The role is designed for a recent graduate with strong fundamentals and applied project work. The position emphasizes practical, rigorous analyses that business can use, with hands-on experience from coursework or projects, and supports developing domain

Qualifications

• Recent graduate with a Bachelor's or Master's in a quantitative field relevant to data science.
• 0-1 year of STEM experience.
• Foundational knowledge of statistics and machine-learning concepts.
• Hands-on Python or R through coursework or projects.
• Experience with data analysis and visualization tools.
• Ability to explain technical work to diverse audiences.

Responsibilities

• Translate business questions into analytical problems with clear success criteria.
• Clean, join, and validate structured and unstructured data; document data quality.
• Build baseline and advanced models using statistics, ML, optimization, or time-series.
• Compare models with relevant metrics and assess uncertainty and robustness.
• Create visualizations, notebooks, and concise presentations of findings.
• Collaborate with data and AI engineers to move analyses toward production.
• Use version control, testing, and reproducible workflows.
• Protect confidential information and follow governance and Responsible AI.
• Develop domain knowledge in energy and industrial systems through hands-on work.

Skills

Python

R programming

Data visualization

Communication

Problem solving

Collaboration

Statistics basics

Education

Bachelor's or Master's in Data Science or related quantitative field

Tools

pandas

NumPy

scikit-learn

SQL

Jupyter

matplotlib

seaborn

Power BI

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.

Job Description

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.

Required Qualifications

• Recent graduate with 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 both technical and non‑technical audiences.
• Demonstrated problem‑solving, collaboration, attention to detail and willingness to learn.

Desired Characteristics

• 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.

Eligibility Requirements

This role requires access to U.S. export‑controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export‑controlled information from the U.S. Government.

The required work location is Greenville, SC (relocation assistance is available)

Unrestricted work authorization to work in the United States of America is required. We will not provide sponsorship for this role now or in the future.

This role requires access to U.S. export‑controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export‑controlled information from the U.S. Government.

Additional Information

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

Relocation Assistance Provided: Yes

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 ben