Senior Data Scientist, Blades Fleet Engineering

The Senior Data Scientist Blade Fleet Engineering for GE Vernova will lead proactive fleet performance management through advanced data science and machine learning. You will be responsible for driving sustained product improvement across the global fleet shifting from reactive troubleshooting to a proactive data-led reliability model. You will develop and implement scalable analytical initiatives and drive closed-loop lessons learned across the product lifecycle by leveraging large-scale industrial data.

• Predictive Analytics Integration: Leverage fleet-wide data across manufacturing projects and services platforms alongside AI-driven diagnostic tools to identify early-stage degradation patterns enabling proactive maintenance strategies.
• Data-Driven RCA Methodology: Develop and deploy machine learning algorithms to process large-scale historical failure data accelerating root cause identification and validating the efficacy of corrective actions through rigorous statistical modeling.
• Automated Quality Reporting: Implement and maintain automated data visualization dashboards and pipelines to monitor fleet quality KPIs ensuring real-time visibility into emerging trends for leadership and stakeholders.
• Proactive Fleet Management: Collaborate with performance and reliability teams to identify and address emerging technical issues through advanced predictive modeling before they impact fleet availability.
• Data Infrastructure Ownership: Drive continuous improvements in fleet data quality data completeness and the underlying data architecture supporting our analytics capabilities.
• Problem-Solving Leadership: Facilitate data-driven Kaizens to achieve faster more robust resolutions. Utilize statistical insights to own and support action items derived from Quality PSR (Problem Solving Report) countermeasures.
• Process Implementation: Drive the application of advanced data-centric problem-solving tools and methods throughout the root cause analysis process.
• Cross-Functional Partnership: Collaborate with fleet performance management manufacturing projects services and digital technology teams to ensure a unified data-driven approach to fleet reliability. Support data initiatives driven by cross-functional teams

• Education: Bachelors degree in Data Science Computer Science Statistics Mathematics or a related quantitative STEM field.
• Experience: 7 years of professional experience in data science predictive analytics or a similar high-impact technical analytical role.

• Data Literacy & Tooling: High proficiency in data analysis and visualization software (e.g. SQL Python R MATLAB PowerBI or Tableau) with extensive experience interpreting large complex datasets for technical decision-making.
• AI/ML Expertise: In-depth experience in building deploying and monitoring production-grade machine learning models with an understanding of how predictive maintenance applies to complex mechanical structures.
• Statistical Analysis: Strong foundation in statistical quality control (SQC) probabilistic modeling and reliability engineering metrics (e.g. Weibull analysis reliability growth modeling).
• Risk Mitigation: Experience developing data-driven action plans to mitigate fleet risks.
• Quality Systems: Familiarity with quality systems procedure development and technical execution.
• Communication: Proven ability to communicate complex analytical findings and RCA outcomes to non-technical stakeholders.
• Lean Methodologies: Experience with Lean tools coaching and facilitating process improvement events (e.g. Kaizen).

For candidates applying to a U.S. based position the pay range for this position is between $113200.00 and $188800.00. 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 September 25 2026.

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.