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 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:
- Bachelors degree in Data Science Statistics Computer Science Artificial Intelligence or a related field. Masters 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.
Additional Information
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 $73600.00 and $110400.00. 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 candidates 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 14 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.