Job Description Summary

Become part of a winning team to electrify and decarbonize for a zero-carbon future.

We are seeking a skilled Data Engineer with a strong focus on Artificial Intelligence to join our Product Management Team. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that supports our product initiatives and investments. You will work closely with product managers, data scientists, and engineers to ensure that our data pipelines are efficient and scalable. You will drive continuous improvement and implement new AI-driven solutions to drive productivity and improve quality within the Product Management organization.

Job Description

Key Responsibilities:

Data Collection and Management:
- Gather, clean, and organize large datasets from various sources.
- Ensure data integrity and accuracy through regular audits and validation processes.
- Maintain data repositories and databases, ensuring they are up-to-date and accessible.
Data Analysis and Interpretation:
- Perform statistical analysis and data modeling to identify trends, patterns, and insights.
- Create detailed reports and visualizations to communicate findings to stakeholders.
- Utilize advanced analytics techniques to solve complex business problems.
AI and Machine Learning:
- Train and deploy machine learning models to enhance data-driven decision-making.
- Implement AI algorithms for predictive analytics, classification, clustering, and other applications.
- Evaluate and select appropriate AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Tool and Technology Proficiency:
- Employ data analysis tools such as SQL, Python, R, and data visualization software (e.g., Tableau, Power BI).
- Manage and optimize data pipelines and ETL (Extract, Transform, Load) processes.
- Collaborate with IT teams to implement and maintain data infrastructure.
Collaboration and Communication:
- Work closely with cross-functional teams to understand data needs and provide relevant solutions.
- Present data-driven insights and recommendations to business leaders and decision-makers.
- Document data processes, methodologies, and findings for knowledge sharing and future reference.
Continuous Improvement:
- Stay current with industry trends, emerging technologies, and best practices in data science, analytics, and AI.
- Participate in training and development opportunities to enhance skills and knowledge.
- Contribute to the development of data governance policies and standards.

Qualifications/Requirements

Education:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Artificial Intelligence, or a related field. Master’s degree preferred.
Experience:
- Experience as a Data Analyst, Data Scientist, or similar role with a focus on AI and machine learning.
- Strong portfolio of projects demonstrating data analysis, visualization, and/or AI model development.
Technical Skills:
- Familiarity with SQL and database management systems.
- Experience with programming languages such as Python or R.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Smartsheet).
- Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Soft Skills:
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.

Desired Characteristics

Knowledge of deep learning techniques and neural networks is a plus.
Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is desirable.
Understanding of natural language processing (NLP) and computer vision applications is beneficial.

The base pay range for this position is $79,400-$119,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for a performance bonus. This position will be posted until at least 11/05/25.

Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE 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 planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

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: No

For candidates applying to a U.S. based position, the pay range for this position is between $73,600.00 and $110,400.00. 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.

This posting is expected to remain open for at least seven days after it was posted on November 10, 2025.

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and 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.

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 at any time 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.

GE Vernova

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