Resource Modeling Analyst WL

Job Overview

This job is responsible for running sophisticated AI-driven statistical models, data handling, and simulation processes with a focus on renewable energy systems modeling. Employees in this role are responsible for independent production responsibilities and multi-tasking across a range of diverse customer projects utilizing AI algorithms to improve accuracy, identify trends, and forecast operations. Core services and deliverables include, but are not limited to, data collection and filtering, long-term wind or solar energy production estimates, power curve testing, investment approval processing, site suitability testing, financing support, and special projects. Individuals in this position apply knowledge in support of customer service and new product development and support Senior Quant Analysts with prototype coding, code/application testing, and process/application documentation.

Job Duties & Responsibilities

• Reviews raw and related meteorological data from various sensing devices
• Sets up, monitors and analyzes numerical weather models (both meso- and micro-scale) to accurately understand the long-term wind/energy resource across a given area
• Sets up and executes in-house software and prediction tools to translate the long-term wind resource into energy production optimizations for a wide variety of turbine configurations
• Performs geospatial analysis using ArcGIS software and other industry-standard tools to identify turbine locations with maximum energy output and minimal impact to local land use
• Collects and filters solar irradiance and solar farm operational data
• Reviews electrical and structural drawings of commercial and utility scale solar farms
• Analyzes system energy loss due to wiring, transformers, soiling, snow etc.
• Diagnoses operating assets for plant optimization
• Provides investment due diligence and financing support
• Designs AI-driven models for energy modeling
• Incorporates AI tools for improved operational and design risk analysis
• Collaborates with cross-functional teams on AI-based problem-solving
• Provides site intelligence and field services, including construction screening, on-site instrumentation audits and shading analyses
• Provides meteorological instrumentation and siting recommendations
• Prepares written reports and presentations for both internal and external customers
• Travels to project sites to collect data, assists in permitting and community outreach, and participates in industry conferences - travel expectancy is between 5% and 25% of time
• Performs other job-related duties as assigned

Required Qualifications

• Bachelor’s Degree
• Experience: 1+ years

Preferred Qualifications

• Master’s Degree
• Prior exposure to AI modeling techniques