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Weather Data Scientist

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Appian Way Energy Partners

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Location:
United States , Cambridge

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Appian Way Energy Partners (AWEP) is a Cambridge, MA-based energy trading and analytics firm founded in December 2014. Specializing in congestion trading within U.S. wholesale electricity markets, AWEP employs a multidisciplinary team to develop fundamental models of US electricity markets and translates those economic models into profitable trading strategies. Appian Way Energy Partners is currently accepting applications for a Weather Data Scientist to work fully onsite at our office in Cambridge, MA. This role will focus on development and implementation of short-term commercial trading strategies, as well as providing data science and meteorological contributions to our longer-term electricity market trading strategies.

Job Responsibility:

  • Work directly with short-term traders to identify weather-based trading strategies
  • Assist team in building and maintaining energy price valuation models that incorporate weather forecast data and power market fundamentals to inform directional and relative value trading decisions
  • Quantify how evolving weather scenarios impact net load, congestion, renewable output, and ultimately price movements across US electricity markets
  • Integrate custom and external weather model outputs (ECMWF, GFS, HRRR, etc.) into renewable energy and demand forecasts Meteorological and Data Science Support of Long-Term Trading (i.e. FTR and OTC power markets)
  • Track extreme weather risks, their forward market implications and associated trading opportunities
  • Consult with traders on longer-term weather patterns (monthly to seasonal) and help frame expectations around load variability, hydrology, wind/solar patterns, and probabilistic outcomes
  • Collaborate with traders and analysts on improving fundamental optimal power flow models via improved load forecasting, renewable modeling and scenario analysis
  • Develop automated tools for identifying historical congestion pattern correlations to market fundamental drivers including weather factors and power fundamentals such as transmission outages

Requirements:

  • Bachelor’s or master’s degree in meteorology, Atmospheric Science, Applied Math, or related field
  • 2+ years of experience in operational weather forecasting or applied weather analytics
  • Expertise in short-term numerical weather prediction and interpretation for North America region
  • Able to design, build and maintain own models (python strongly preferred)
  • Fluency in weather data analysis tools and ability to work with large datasets
  • Strong communication skills and the ability to present complex information clearly

Nice to have:

  • Understanding of the weather-to-load and weather-to-generation relationships in the regional electricity markets of US
  • Knowledge of renewable forecasting of wind and solar power
  • Experience working with electricity markets and understanding of how weather ties into locational marginal pricing, congestion risk, DA/RT price arbitrage, electricity demand and renewable output uncertainties
What we offer:
  • Competitive base salary with performance-based bonuses and PTO
  • Health, dental, vision and disability insurance plans
  • 401k safe harbor match and profit sharing
  • Visa sponsorship

Additional Information:

Job Posted:
December 06, 2025

Work Type:
On-site work
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