Power Market Data & Modeling Analyst II – Model Ready Data Team

Yes Energy•Newton, MA

10d•Hybrid

About The Position

The Model Ready Data Team builds the modeling data service behind EnCompass, Yes Energy’s power system simulation engine. It produces and maintains model-ready datasets for North American power systems—including generation, load, fuels, transmission, emissions, and reserves—along with documentation explaining the assumptions behind each input. The team bridges Yes Energy’s Data Platform and Modeling disciplines by translating power system data and historical reports into modeling inputs and supporting development of proprietary nodal LMP forecasts. In this role, you will build, validate, and automate power-system datasets while developing expertise in one or more power markets. You will support model-update cycles, develop Python-based data-quality automation, validate simulations against historical market outcomes, maintain customer-facing documentation, and provide modeling support and market expertise to clients.

Requirements

Bachelor’s degree in engineering, computer science, data science, or a similar quantitative field.
Understanding of North American power market fundamentals and energy economics.
Strong technical execution and proven experience using Python or a similar language for data manipulation and automation.
Comfort working with large, messy tabular data, including CSV, Excel, and SQL, and checking it against its source.
Knowledge of software development practices including version control, code review, testing, and writing readable code.
Excellent analytical skills when responding to open-ended questions.
Ability to work efficiently on multiple, non-overlapping tasks with minimal supervision.
Confidence presenting technical content to colleagues and clients.
Passion for the energy transition.

Nice To Haves

M.S. or Ph.D. in engineering or computer science with a focus on power systems.
Experience with power system models such as Enelytix, EnCompass, PLEXOS, AURORA, or PROMOD; optimization; production cost modeling; or capacity expansion modeling.
Practical experience contributing to large code bases.
Experience with workflow orchestration tools such as Dagster or Airflow and cloud data platforms such as Snowflake or AWS.
Experience with geospatial or weather data, or wind and solar generation modeling.
Ability to view the grid holistically and understand dependencies between technology, data, and market processes.

Responsibilities

Build, test, and analyze data models for North American power systems and deliver them as model-ready datasets for EnCompass.
Run regular model-update cycles, refreshing generation fleets, load forecasts, fuel prices, interchanges, emissions, reserves, and transmission constraints using internal, public, and commercial sources.
Develop and maintain Python-based automation to ensure data quality from source to product.
Validate models by running simulations, benchmarking results against historical market outcomes, and diagnosing discrepancies.
Maintain customer-facing assumptions documentation for each modeled market or region.
Develop expertise in one or more power markets and support clients with case diagnosis and expert advice on power market modeling.
Identify and research new data sources, tools, and modeling structures to improve model quality and sophistication.