ABOUT SUNAIRIOAn evolving grid is rapidly injecting more weather-based variability to supply-demand balances and power markets outcomes. Moreover, a changing climate is quickly invalidating grid forecasting approaches that rely on legacy weather models, historical weather analogues, and coarse views of future risk. Managing these complicated dynamics is the number #1 challenge facing the energy grid today.Sunairio’s mission is to provide the highest-fidelity intelligence into asset and grid risk by translating the highest-resolution datasets of weather and climate variability into commercially useful applications. We offer several proprietary, differentiated datasets, including the largest high-res historical gridded weather data archive and an accompanying large ensemble weather forecast model capable of forecasting climate-aware hourly weather spanning operational and planning time horizons.Sunairio also provides energy and energy market forecasts (at both asset and grid-level) using our ensemble weather forecast, covering the existing renewables fleet and major RTO/ISO regions. We work with renewable energy project owners, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.Please include a cover letter with your application. Applications without cover letters will not be considered.KEY RESPONSIBILITIESThe Sr. Data Scientist–Quantitative Meteorology will be responsible for building next-generation weather forecast models that leverage Sunairio’s proprietary high-resolution weather datasets. These responsibilities include:<ul><li>Developing AI/ML, statistical, or hybrid weather forecast ensembles (for short, medium, and sub-seasonal terms) that generate best-in-class forecast performance for weather that drives energy and power grid volatility</li><li>Maintaining robust validation protocols to benchmark Sunairio forecasts against major public models</li><li>Staying abreast of all advances in AI meteorology to leverage public research and open-source solutions when practical</li><li>Collaborating closely with the Sunairio Engineering team to productionalize all models</li><li>Assisting the Engineering and Data Science teams with weather data pipelines</li><li>Providing domain-specific guidance in operational weather forecasting practices to the broader team</li><li>Generating original content for blog posts, white papers, and conference presentations that demonstrate the unique Sunairio value proposition</li><li>Representing Sunairio at industry conferences and events</li></ul>WHAT WE'RE LOOKING FOR<ul><li>A passion for building new approaches to weather forecasting</li><li>4+ years of experience in quantitative meteorology or NWP</li><li>Expertise building probabilistic weather models using statistical and machine learning frameworks</li><li>Expertise in machine learning and AI methods for downscaling</li><li>Strong familiarity with nowcasting methods</li><li>MS/PhD in meteorology, atmospheric science, physics, or a related technical discipline</li><li>Specific experience with atmospheric dynamics that affect variable energy resources (electricity demand, wind generation, solar generation, hydro)</li><li>Understanding of probability theory and statistical inference as it relates to evaluating model performance</li><li>Creative problem-solving, outstanding communication and organizational skills, and a commitment to excellence</li><li>Experience with the Python scientific computing environment (Pandas/Numpy/SciPy)</li><li>Intellectual curiosity</li><li>Ability to work collaboratively and independently</li><li>Hands-on experience developing and implementing robust models and algorithms</li></ul>WHAT WE OFFER<ul><li>The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensation</li><li>The chance to work on innovative solutions to problems of critical importance</li><li>A truly collaborative team environment</li><li>The ability to help shape company culture</li><li>Competitive salary and incentive-based compensation plan</li><li>“Platinum” health insurance plan</li><li>401(k) with company match</li><li>Flexible vacation policy</li><li>Amazing swag</li></ul>LOCATION:<ul><li>Hybrid (preferred location in East or Central time zone)</li><li>Sunairio is based in Baltimore, MD and requires employees to travel to regularly-scheduled onsites at Sunairio HQ. Sunairio provides a travel stipend to cover these expenses. Relocation assistance is also available to candidates interested in moving close to Baltimore.</li></ul>

Fast weather and climate modeling for dynamic energy markets.

Sr. Data Scientist -- Quantitative Meteorology

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Sunairio

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