Data Scientist

Pay Rate: $100 - 150 per hour

Duration: 12 Months

Work Mode: Hybrid, 1-2 days a week in Dublin, CA

Responsibilities

• Develop quantitative risk frameworks to assess risks associated with transmission rights of way.
• Build predictive models to estimate the likelihood of future safety or reliability events.
• Incorporate multiple risk dimensions into a unified analytical framework.
• Aggregate, clean, and structure data from multiple enterprise systems.
• Translate model outputs into practical prioritization tools.
• Establish model validation and performance monitoring processes.
• Partner closely with subject matter experts to ensure models reflect real-world conditions.

Requirements

• Bachelor’s degree in Data Science, Statistics, Applied Mathematics, or related field.
• 5 years of experience in data science, predictive analytics, or statistical modeling.
• Experience building predictive models using Python, R, SQL, or similar tools.
• Strong knowledge of statistical inference, machine learning, and risk modeling.
• Ability to explain technical results to operational and executive audiences.

Preferred Skills

• Master’s or PhD in a quantitative discipline.
• Experience in electric utility, transmission operations, or wildfire risk.
• Experience with geospatial analytics, including GIS-based risk modeling.
• Experience developing dashboards or decision-support tools using Power BI or Tableau.

Skills

Analysis Skills, Data Cleaning, Data Science, Decision Support, Electrical Utility, Establish Priorities, Geospatial Analysis, Machine Learning, Mathematics, Model Validation, Performance Analysis, Performance Modeling, Power BI, Predictive Modeling, Python Programming/Scripting Language, Quantitative Risk Assessment (QRA), R Programming Language, Reporting Dashboards, Risk, Risk Analysis, Risk Modeling, SQL (Structured Query Language), Statistical Modeling, Statistics, Tableau

About the Company

Axelon Services Corporation