About the role
Job Summary
Seeking a Data Scientist to develop quantitative risk models and predictive analytics for Transmission Right of Way (ROW) Risk Reduction. The role involves building machine learning models, integrating enterprise data, and delivering actionable insights to support safety, reliability, wildfire risk mitigation, and operational decision-making.
Key Responsibilities
- Develop quantitative risk and predictive models for transmission ROW encroachments
- Build analytics solutions using Python, R, SQL, and ML techniques
- Perform geospatial and risk analysis using GIS and operational data
- Create dashboards and decision-support tools (Power BI/Tableau)
- Collaborate with cross-functional teams including engineering, GIS, operations, and compliance
- Monitor model performance, validation, and continuous improvements
Required Qualifications
Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or related field
5+ years of experience in data science, predictive analytics, or risk modeling
Strong experience with Python, R, SQL, statistical modeling, and machine learning
Experience working with large, complex datasets and translating insights for business stakeholders
Preferred Qualifications
Master's or PhD in a quantitative field
Experience in utility, transmission operations, wildfire risk, or infrastructure analytics
GIS/geospatial analytics experience (ArcGIS, QGIS, GeoPandas)
Experience with Power BI/Tableau and cloud analytics environments
Knowledge of utility risk, reliability, and compliance concepts.
Technical Skills
Python, R, SQL, Machine Learning, Forecasting, GIS, ArcGIS, Tableau, Power BI, ETL, Statistical Modeling, Risk Analytics.
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