Senior Data Scientist — Fleet Analytics (Onsite Greenville)

DataJobs; Greenville (SC); On-site; USD 113,000 - 189,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Prescription drug coverage

Health Coach

Employee Assistance Program

401(k) Matching

Tuition assistance

Adoption assistance

Paid parental leave

Disability benefits

Life insurance

12 paid holidays

Permissive time off

Relocation assistance

Job summary

GE Vernova’s Blade Fleet Engineering team is seeking a Senior Data Scientist to lead proactive fleet performance management across the global blade fleet, applying advanced data science and machine learning to predictive analytics, automated quality reporting, and closed-loop reliability improvements.

This position is based in Greenville, SC with onsite work arrangement. The salary range for this role is USD 113,200 - 188,800 per year.

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 a comparable high-impact technical analytical role.
• Proven experience building, deploying, and monitoring production-grade machine learning models.
• Strong ability to communicate complex analytical findings to non-technical stakeholders.
• Familiarity with quality systems, procedure development, and technical execution.
• Demonstrated ability to apply Lean Kaizen to process improvements.

Responsibilities

• Use fleet-wide data and AI-driven diagnostic tools to spot early-stage degradation and inform proactive maintenance strategies.
• Build and deploy ML algorithms using large-scale failure data to identify root causes and validate corrective actions.
• Create automated dashboards and data pipelines to track fleet quality KPIs and provide near real-time visibility for leadership.
• Collaborate with performance and reliability teams to address technical issues through predictive modeling.
• Improve fleet data quality and data architecture supporting analytics capabilities.
• Lead data-driven Kaizens to support faster, robust resolutions from RCA countermeasures.
• Apply advanced data-centric problem-solving methods across root cause analysis workflows.
• Coordinate with cross-functional teams to maintain a unified data-driven approach to fleet reliability.

Skills

SQL

Python

R

MATLAB

PowerBI

Tableau

Production ML

SQC

Weibull analysis

Kaizen

Education

Bachelor's degree in Data Science/CS/Statistics/Math or related STEM field

Tools

SQL

Python

R

MATLAB

PowerBI

Tableau

Job description

GE Vernova’s Blade Fleet Engineering team is seeking a Senior Data Scientist to lead proactive fleet performance management across the global blade fleet, applying advanced data science and machine learning to predictive analytics, automated quality reporting, and closed-loop reliability improvements.

This position is based in Greenville, SC with onsite work arrangement. The salary range for this role is USD 113,200 - 188,800 per year.