Data Scientist - Electric Transmission Operations

Job Title: Data Scientist – Transmission Risk Analytics Duration: 11 Months Location: Dublin, CA/Hybrid (2 days onsite) Pay Rate: $110-$150/hr Preferred W2 Candidates: US Citizen, GC Holders Only Local Candidates Preferred Position Summary: We are seeking a highly analytical and mission-driven Data Scientist to support the development of a quantitative risk analysis and predictive analytics capability for Transmission Right of Way (ROW) Risk Reduction Strategy. This role will help design and operationalize data-driven methods to quantify risk, prioritize encroachments, and predict the likelihood of safety and reliability events associated with transmission right of way encroachments. The successful candidate will partner with cross-functional teams across electric operations, asset management, vegetation management, engineering, risk, compliance, GIS, inspection, and program management to translate field, asset, and operational data into actionable insights. The Data Scientist will build models that enable proactive decision-making by identifying where encroachments pose the greatest potential threat to public safety, worker safety, grid reliability, asset integrity, and wildfire risk. This role is ideal for someone who combines deep technical expertise in statistical modeling and machine learning with the ability to work in complex operational environments and communicate insights to business and executive stakeholders. Responsibilities: • Aggregate, clean, and structure data from multiple enterprise and operational systems, including GIS, asset management, inspections, outage history, incident data, vegetation data, work management, and field observations. • Develop repeatable analytical pipelines to support risk scoring, trend analysis, forecasting, and prioritization. • Assess data quality, completeness, and lineage; identify data gaps and recommend improvements to enable stronger analytics. • Partner with IT, data engineering, GIS, and business teams to improve data architecture and enable scalable model deployment. • Develop quantitative risk frameworks to assess the risk posed by encroachments within or adjacent to transmission rights of way. Define risk equations, scoring methodologies, and analytical models that estimate both: o Likelihood of an event occurring (e.g., safety incident, reliability event, asset damage, access impairment, wildfire ignition, clearance violation, line contact, third-party interference), and o Consequence / impact of that event. Qualification: • Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Engineering, Computer Science, Operations Research, Economics, or a related quantitative field. • 5+ years of experience in data science, predictive analytics, quantitative risk analysis, or statistical modeling. • Experience building predictive models using Python, R, SQL, or similar tools. • Experience in electric utility, transmission operations, wildfire risk, asset risk management, infrastructure risk, public safety risk, or reliability analytics. Technical Skills • Programming: Python, R, SQL • Analytics: Statistical modeling, machine learning, forecasting, simulation, optimization • Data tools: Data wrangling, ETL concepts, data quality assessment • Visualization: Power BI, Tableau, matplotlib, seaborn, or similar • Geospatial: ArcGIS, QGIS, GeoPandas, spatial analysis techniques Equal Employment Opportunity Statement Intelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law. Americans with Disabilities Act (ADA) If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department Other Employment Statements Intelliswift participates in the E-Verify program. Learn More For information on Intelliswift Software, Inc., visit our website at www.intelliswift.com.