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Senior Data Scientist, Blades Fleet Engineering
GE Vernova. Lead proactive fleet performance management through advanced data science and machine learning .
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Lead proactive fleet performance management through advanced data science and machine learning
- Drive sustained product improvement across the global fleet
- Develop and implement scalable analytical initiatives
- Drive closed-loop lessons learned across the product lifecycle using large-scale industrial data
- Leverage fleet-wide data and AI-driven diagnostic tools to identify early-stage degradation patterns and enable proactive maintenance
- Develop and deploy machine learning algorithms using large-scale historical failure data
- Accelerate root cause identification and validate corrective actions through statistical modeling
- Implement and maintain automated data visualization dashboards and pipelines for fleet quality KPIs
- Monitor emerging fleet quality trends and provide real-time visibility to leadership and stakeholders
- Collaborate with performance and reliability teams to address emerging technical issues before affecting fleet availability
- Improve fleet data quality, completeness, and supporting data architecture
- Facilitate data-driven Kaizens and support action items from Quality PSR countermeasures
- Apply advanced data-centric problem-solving tools throughout root cause analysis
- Collaborate with fleet performance management, manufacturing, projects, services, and digital technology teams
- Support cross-functional data initiatives
Requirements
What you’ll need- 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 a similar high-impact technical analytical role
- High proficiency in data analysis and visualization software, such as SQL, Python, R, MATLAB, PowerBI, or Tableau
- Extensive experience interpreting large, complex datasets for technical decision-making
- In-depth experience building, deploying, and monitoring production-grade machine learning models
- Understanding of predictive maintenance for complex mechanical structures
- Strong foundation in statistical quality control (SQC), probabilistic modeling, and reliability engineering metrics
- Experience with Weibull analysis and reliability growth modeling
- Experience developing data-driven action plans to mitigate fleet risks
- Familiarity with quality systems, procedure development, and technical execution
- Proven ability to communicate complex analytical findings and RCA outcomes to non-technical stakeholders
- Experience with Lean tools, coaching, and facilitating process improvement events such as Kaizen
- Must be legally authorized to work in the United States
- Successful completion of a drug screen, as applicable
Benefits
Comp & perks- Competitive compensation
- Professional development
- Medical, dental, vision, and prescription drug coverage
- Health Coach from GE Vernova, a 24/7 nurse-based resource
- Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan
- Tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Relocation assistance