Lead Data Scientist

Responsibilities

• Statistical modeling and advanced analytics: design, build, and validate models for MRO and supply chain challenges, covering regression, forecasting, hypothesis testing, and segmentation; translate results into actionable business steps.
• Problem framing and heuristics: apply structured methods and practical heuristics to tackle complex, ambiguous problems, blending data-driven insights with practical problem solving.
• Data foundations: establish and maintain standard data models, KPIs and reports across MRO shops, suppliers, and internal functions, handling complex data structures as needed.
• Data pipelines: design, implement, and operate repeatable data pipelines from shop, ERP, planning, quality, and supply chain systems into governed analytics environments.
• Analytics and reporting: develop dashboards for operations and management using Tableau, Power BI and Excel, ensuring visualizations clearly convey key insights and model outputs.
• Data quality and standards: monitor data quality, drive root-cause fixes, and document models, metrics, pipelines and reports to keep solutions transparent and repeatable.
• Continuous improvement and Lean: contribute data and insights to Lean and productivity initiatives, apply simple problem-solving tools, and track impact over time.
• Stakeholder partnership: collaborate with shop leaders and Global Supply Chain teams to understand needs, prioritize work, and support strategic initiatives.
• Team collaboration: work with commitment to goals, share knowledge, and help others upskill in analytics tools and methods.

Requirements

• Degree in Engineering, Computer Science, Mathematics, Statistics, Data Science or related quantitative field, or equivalent work experience.
• At least three years of experience in data science, data analytics or related roles, ideally within manufacturing, MRO or supply chain.
• Strong proficiency in statistical analysis and modeling, including regression, hypothesis testing and time series or forecasting, using Python or R.
• Experience working with complex data structures and large datasets, including event, transactional and relational data.
• Strong SQL and relational database skills.
• Hands-on experience building and maintaining dashboards and reports using Tableau and/or Power BI, or strong Excel skills with a plan to upskill on these platforms.
• Proven problem-solving ability, including structured analysis and the use of heuristics where appropriate.

Technologies

• Python
• R
• SQL
• Tableau
• Power BI
• Excel

Benefits

• Medical, dental, vision, and prescription drug coverage
• Health Coach from GE Vernova, 24/7 nurse-based resource
• Employee Assistance Program with 24/7 confidential assessment, counseling and referrals
• GE Vernova Retirement Savings Plan with company matching and 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

Additional Information

• GE Vernova is an Equal Opportunity Employer; employment decisions are made without regard to protected characteristics.
• Applicants must be legally authorized to work in the United States; offers may be conditioned on a drug screen where applicable.
• Relocation assistance: No
• Pay range for this US position: $92,400 to $153,900; geographic differential of 110%, 120%, or 130% may apply in certain locations; final offer depends on experience and skills.
• Bonus eligibility: ineligible
• Posting remains open for at least seven days after July 8, 2026
• Benefits include medical, dental, vision, prescription coverage, Health Coach access, and EAP services; retirement and Fidelity planning resources are available