GE Vernova is hiring an entry-level Data Scientist to work with engineers, data professionals, and product teams on analytical and machine-learning problems. The role involves preparing data, building and evaluating models, communicating findings, and helping develop practical, reusable solutions for the business.
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
Qualification
Required
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
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
Preferred
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
Benefit
Relocation assistance
Professional development
Discretionary annual bonus
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
GE Vernova provides energy consulting, gas power, and grid solutions.
