AMISEQ
Data Scientist (Principal)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Scientist with 5+ years of experience in Data Science, predictive analytics, and risk modeling. It offers a hybrid work environment in Dublin, with a pay rate of "TBD" and requires strong skills in Python, SQL, and GIS analytics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
800
-
🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dublin, CA
-
🧠 - Skills detailed
#Data Quality #Data Science #ML (Machine Learning) #BI (Business Intelligence) #Pandas #Data Wrangling #SQL (Structured Query Language) #Tableau #Forecasting #Cloud #Python #Microsoft Power BI #AI (Artificial Intelligence) #Datasets
Role description
•
• LOCAL CANDIDATES ONLY
•
• The role is Hybrid. 1-2 days a week in Dublin.
There may be times when we need to travel to other locations such as Oakland, Concord, or field sites around the service area.
• 5+ years of experience in Data Science, Predictive Analytics, Risk Modeling, or Statistical Modeling
• Strong hands-on experience with Python, SQL, Machine Learning, Forecasting, and Risk Scoring models
• Experience building predictive/probability models and working with large, complex operational datasets
• Strong knowledge of statistical inference, feature engineering, data wrangling, and data quality management
• Experience with GIS / Geospatial Analytics tools such as ArcGIS, QGIS, or GeoPandas preferred
• Utility / Energy / Transmission / Infrastructure risk domain experience highly preferred
• Exposure to wildfire risk, asset health, reliability analytics, ROW management, or encroachment analytics is a plus
• Experience with operational, inspection, outage, or asset management datasets preferred
• Familiarity with explainable AI, hazard models, Monte Carlo simulations, and scenario analysis preferred
• Experience with Power BI/Tableau and cloud analytics environments is a plus
• Strong communication skills with ability to explain technical insights to business and executive stakeholders
• Ability to work in ambiguous environments and convert business problems into analytical solutions
• Ideal candidate should combine technical Data Science expertise with operational/business understanding
•
• LOCAL CANDIDATES ONLY
•
• The role is Hybrid. 1-2 days a week in Dublin.
There may be times when we need to travel to other locations such as Oakland, Concord, or field sites around the service area.
• 5+ years of experience in Data Science, Predictive Analytics, Risk Modeling, or Statistical Modeling
• Strong hands-on experience with Python, SQL, Machine Learning, Forecasting, and Risk Scoring models
• Experience building predictive/probability models and working with large, complex operational datasets
• Strong knowledge of statistical inference, feature engineering, data wrangling, and data quality management
• Experience with GIS / Geospatial Analytics tools such as ArcGIS, QGIS, or GeoPandas preferred
• Utility / Energy / Transmission / Infrastructure risk domain experience highly preferred
• Exposure to wildfire risk, asset health, reliability analytics, ROW management, or encroachment analytics is a plus
• Experience with operational, inspection, outage, or asset management datasets preferred
• Familiarity with explainable AI, hazard models, Monte Carlo simulations, and scenario analysis preferred
• Experience with Power BI/Tableau and cloud analytics environments is a plus
• Strong communication skills with ability to explain technical insights to business and executive stakeholders
• Ability to work in ambiguous environments and convert business problems into analytical solutions
• Ideal candidate should combine technical Data Science expertise with operational/business understanding
