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🧠Full-Time
🔍 Natural gas, energy, or infrastructure
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related technical field.
- 5+ years of experience in data analysis, statistical modeling, or related roles.
- Proven ability to work with large datasets, including time-series and geospatial data.
- Prior experience in the natural gas, energy, or infrastructure sectors is desirable.
- Strong documentation and presentation skills, with the ability to explain technical concepts clearly.
- Ability to balance multiple priorities and deliver high-quality work in a dynamic environment.
- Analyze large-scale sensor data, operational metrics, and geospatial data to identify trends, anomalies, and actionable opportunities.
- Develop and refine statistical models and algorithms to support emissions quantification, risk prioritization, and other operational applications.
- Build repeatable processes for cleaning, normalizing, and visualizing datasets to ensure accuracy and scalability.
- Work closely with product management, engineering, and customer success teams to deliver data-driven insights and tools.
- Create clear documentation of methodologies, findings, and recommendations for stakeholders.
- Provide analytical deliverables and visualizations that align with customer goals.
PythonSQLData AnalysisData visualization
Posted 3 months ago
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