Data Scientist at Kpler enhancing Gas and Power teams to aggregate data for future forecasts. Collaborating with engineers and product teams for model deployment and performance enhancement.
About the role
- Sr. Staff Data Scientist responsible for high-impact ML solutions in Oil & Gas and Power sectors. Leading teams and driving predictive insights for operational efficiency at GE Vernova.
Responsibilities
- Collaborate with business/domain leaders to identify, prioritize, and scope high-value ML use cases
- Lead and oversee the end-to-end DS/ML lifecycle: data acquisition, cleaning, feature engineering, exploratory analysis
- Develop, validate, and tune models across regression, classification, time-series, anomaly detection, and ensembles
- Deploy models to production on cloud platforms (AWS/Azure/GCP)
- Own and influence the ML systems architecture
- Partner with data/platform engineering to operationalize pipelines and integrate models into business applications
- Establish and champion standards, reusable assets, best practices for data quality, governance, security-by-design
- Mentor and coach data scientists/analysts; perform code/model reviews
- Translate model outcomes into clear, actionable insights for technical and non-technical stakeholders
- Collaborate with Reliability Engineering to apply reliability analytics
- Stay current with advancing ML methods and evaluate/pilot GenAI/LLM-assisted workflows
- Contribute to functional data/analytics strategy and roadmaps
Requirements
- minimum of 8 years’ experience in operations, maintenance or monitoring within Oil & Gas, Fossil Power, or Renewable Power
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 10 years of experience
- Technical Expertise: Expert proficiency in Python and SQL; strong in libraries such as Pandas, NumPy, scikit-learn; experience with TensorFlow/PyTorch
- Advanced time-series and anomaly detection for industrial data; predictive maintenance modeling
- Cloud ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI), CI/CD for ML, model registries, monitoring and drift detection
- Domain Knowledge: 15 Years of overall experience in Data Science and Analytics field
- Strong business understanding: align analytical solutions to P&L priorities and operational KPIs
- Leadership: Leads small teams/projects; attracts, mentors, and develops talent
- Advanced problem solving; consulting mindset; decision making & risk; change agent
- Strong written and verbal communication skills
Benefits
- medical, dental, vision, and prescription drug coverage
- access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions
- access to 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
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