Endurance Energy · 6 hours ago
Principal Data Scientist
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
4+ years expEndurance Energy is seeking a Principal Data Scientist to lead technical and operational projects that drive strategic decisions in offshore energy development. The role involves owning the end-to-end data lifecycle, from ingestion and modeling to visualization and reporting, while leading a multidisciplinary team to identify viable energy sites and conduct techno-economic analyses.
Renewables & Environment
Responsibilities
Develop and maintain advanced geospatial models to identify optimal sites for offshore energy development, integrating hydrothermal resource characterization with environmental constraints and regulatory boundaries
Integrate datasets (bathymetry, seabed composition, marine traffic density, geohazards, projected LCOE, etc.) to rank sites based on feasibility
Lead cross-functional coordination to bring Endurance Energy to market, working closely with Endurance Geologist(s), the Regulatory and Operations Lead, and Business Development Team to identify sites that satisfy technical feasibility, permitting timelines, and customer requirements. Build the bridge between scientific, engineering, regulatory, and commercial workstreams
Work with Endurance’s geology and drilling engineering teams to identify specific drilling locations by collating topological and subsurface seismic survey data
Build and maintain site-specific techno-economic models that quantify LCOE, CAPEX/OPEX sensitivities, and project IRR under varying resource quality and deployment scenarios
Develop a deep understanding of the federal and state permitting landscape for offshore energy projects (BOEM, FERC, state coastal commissions) and incorporate permitting risk and timeline into site ranking frameworks
Support customer engagement by producing site-specific analyses, resource summaries, and economic projections for prospective offtakers; translate technical findings into compelling narratives for hyperscaler and utility customers
Coordinate with transmission planners and utilities to assess interconnection feasibility and cost for candidate sites; integrate grid access constraints into site selection criteria
Build predictive models for ocean current velocities and wave dynamics using time-series forecasting and physics-informed machine learning, applying systems engineering principles to complex fluid dynamics problems
Analyze historical ocean data to project long-term trends and extreme weather events that impact asset integrity and inform autonomous system design requirements
Validate models against real-time data to ensure accuracy for operational planning
Configure data pipelines to analyze Endurance Energy’s system performance in nearly real-time, establishing intelligent sensor workflows and anomaly detection frameworks for subsea equipment
Design dynamic visualizations to communicate drilling conditions, weather windows, and operational risks for the engineering teams
Perform Techno-Economic Assessments to model CAPEX/OPEX scenarios under various environmental conditions, leveraging optimization frameworks (e.g., CVXPY, CPLEX) for capacity expansion and production cost modeling
Build data pipelines that analyze power flow and grid capacity and lead transmission interconnection requests, ensuring grid compatibility and estimating costs associated with transmission interconnection requests
Evaluate grid connection pathways for each candidate site, analyzing transmission capacity, queue position strategies, and infrastructure upgrade requirements to minimize time-to-interconnection
Model optimal delivery architectures (grid-connected, behind-the-meter, or hybrid configurations) to match customer load profiles, reliability requirements, and cost structures
Develop frameworks to optimize site-customer pairing, considering proximity to load centers, transmission constraints, PPA pricing, and customer timeline requirements
Analyze hyperscaler and data center load growth forecasts to identify high-priority service regions and inform proactive site development
Qualification
Required
Advanced programming skills in Python/R; strong SQL. Strong background in applied statistics, model selection, tuning, and evaluation
Direct experience working with geospatial datasets, experience with ArcGIS Pro (Model Builder) and ESRI Products, and Python/R geospatial packages such as geopandas, leaflet, PyShp, Rasterio
Skilled in exploratory data analysis and handling imperfect real-world data
4+ years of hands-on-experience in data analysis and quantitative modeling
Experience with Git and the ability to write production code
Preferred
Experience working with power market data and analytics, experience in modeling, forecasting, or optimizing within power/energy markets
Experience building dashboards or internal tools using Quarto, Shiny, or Streamlit
Demonstrated business transaction or sales experience
Degree or background in engineering
Company
Endurance Energy
Seafloor Geothermal
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase