Data Scientist

Axelon Services Corporation

Dublin, CA

JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Analytical Development, ArcGIS, Asset Management, Bayesian Networks, Business Case, Business Development, Business Intelligence, Business Model, Business Skills, Business Solutions, Calibration, Cloud Computing, Communication Skills, Computer Science, Continuous Improvement, Cross-Functional, Data Analysis, Data Cleaning, Data Management, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), Decision Support, Detail Oriented, Economics, Electrical Utility, Establish Priorities, Financial Operations, Forecasting, Geographic Information Systems (GIS), Geospatial Analysis, Information Technology & Information Systems, Leadership, Machine Learning, Mathematics, Model Validation, Monte Carlo Method, Operational Communications, Operations Management, Operations Research, Performance Analysis, Power BI, Predictive Modeling, Presentation/Verbal Skills, Problem Solving Skills, Process Improvement, Project/Program Management, Public Safety, Python Programming/Scripting Language, Quality Management, Quantitative Risk Assessment (QRA), R Programming Language, Reliability Analysis, Reporting Dashboards, Resource Management, Risk, Risk Analysis, Risk Management, Risk Modeling, SQL (Structured Query Language), Safety/Work Safety, Simulation, Spatial Data, Statistical Modeling, Statistics, Strategic Planning, Tableau, Test Scenario, Traceability, Trend Analysis, Usability Engineering, Writing Skills
LOCATION
Dublin, CA
POSTED
3 days ago


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.

About the Company

A

Axelon Services Corporation