Senior Data Scientist, Blade Fleet Engineering

The Senior Data Scientist, Blade Fleet Engineering role at GE Vernova will help lead proactive fleet performance management through advanced data science and machine learning. This onsite position in Greenville, SC emphasizes predictive analytics, automated quality reporting, and closed-loop reliability improvements across a global blade fleet.

Key Responsibilities

• Use fleet-wide data from manufacturing, projects, and services platforms, together with AI-driven diagnostic tools, to detect early-stage degradation patterns and enable proactive maintenance strategies.
• Create and deploy machine learning algorithms that analyze large-scale historical failure data to accelerate root cause identification and validate corrective action effectiveness using rigorous statistical modeling.
• Build and maintain automated data visualization dashboards and data pipelines to track fleet quality KPIs, providing real-time visibility into emerging trends for leadership and stakeholders.
• Partner with performance and reliability teams to surface and address emerging technical issues through predictive modeling before they affect fleet availability.
• Improve fleet data quality, data completeness, and the data architecture that supports analytics capabilities.
• Support data-driven Kaizens to achieve faster, more reliable resolutions, owning and assisting action items connected to Quality PSR countermeasures using statistical insights.
• Apply advanced data-centric problem-solving tools and methods throughout the root cause analysis process.
• Collaborate across fleet performance management, manufacturing, projects, services, and digital technology teams to maintain a unified, data-driven approach to fleet reliability, and support cross-functional data initiatives.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative STEM field.
• 7+ years of professional experience in data science, predictive analytics, or another high-impact technical analytical role.
• High proficiency with data analysis and visualization tools such as SQL, Python, R, MATLAB, PowerBI, or Tableau, including strong experience interpreting large, complex datasets for technical decision-making.
• Hands-on experience building, deploying, and monitoring production-grade machine learning models, including knowledge of how predictive maintenance applies to complex mechanical structures.
• Strong foundation in statistical quality control (SQC), probabilistic modeling, and reliability engineering metrics, including Weibull analysis and reliability growth modeling.
• Experience creating data-driven action plans to reduce fleet risks.
• Familiarity with quality systems, procedure development, and technical execution.
• Demonstrated ability to communicate complex analytical results and root cause analysis outcomes to non-technical stakeholders.
• Experience with Lean tools, coaching, and facilitating continuous improvement events, including Kaizen.

Technology Stack

• SQL
• Python
• R
• MATLAB
• PowerBI
• Tableau

Compensation and Location

Location: Greenville, SC (onsite)

Salary range: USD 113,200 - 188,800 per year

Relocation

Relocation assistance provided: Yes

Benefits

• Medical, dental, vision, and prescription drug coverage
• Access to Health Coach from GE Vernova (24/7 nurse-based resource)
• Access to the Employee Assistance Program (24/7 confidential assessment, counseling, and referral services)
• GE Vernova Retirement Savings Plan (tax-advantaged 401(k) with company matching contributions and company retirement contributions)
• Tuition assistance
• Adoption assistance
• Paid parental leave
• Disability benefits
• Life insurance
• 12 paid holidays
• Permissive time off