Climate modeling at the speed of energy markets

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Focus: Mitigation or Adaptation

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Climate Solutions

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Fast climate modeling for dynamic energy markets.

ABOUT SUNAIRIOAs the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution–and due to climate change, the weather that this future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk–and weather-based variability–is the number #1 challenge facing the energy grid.Sunairio’s mission is to provide the highest-fidelity intelligence into energy and grid risks by translating the highest-resolution datasets of weather and climate variability into commercially-useful applications. We curate and generate scientifically-validated, model-consistent, localized historical climate data and future climate simulations which can be instantly integrated into existing grid modeling workflows. Sunairio also provides a suite of energy and energy market simulations (at both asset and grid-level) that covers 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 VP of Data Science–Weather and Climate, will be responsible for all aspects of quantitative meteorology and climate science.These responsibilities include:<ul><li>Overseeing the continuous improvement of Sunairio’s market-leading high-resolution probabilistic climate model</li><li>Managing innovative R&amp;D activities to extend Sunairio’s probabilistic forecast technology over new geographic and temporal domains–with a specific focus on weather that drives energy and power grid variability</li><li>Supervising the organization, maintenance, and updating of all fundamental weather and climate data</li><li>Maintaining a robust model validation protocol and benchmarking against major NWP, AI weather forecasts, and GCMs</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><li>Managing a team of data scientists and quantitative analysts</li></ul>WHAT WE'RE LOOKING FOR<ul><li>A passion for building new approaches to weather forecasting and climate modeling</li><li>8+ years of experience in quantitative meteorology, NWP, or climate science</li><li>3+ years of experience managing a team of data scientists</li><li>Expertise building probabilistic weather models using statistical and machine learning frameworks</li><li>Strong background in machine learning and AI methods for downscaling and prediction</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>A deep understanding of the relationship between weather, climate, and grid risk</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><li></li></ul>LOCATION:This is a remote position with a strong preference for the Eastern US Seaboard.We require one-week onsite visits to our office in Baltimore, Maryland&nbsp;every other month (6 onsites/year). We provide an additional annual stipend to offset travel expenses.

VP, Data Science--Weather and Climate

ABOUT SUNAIRIOAs the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution–and due to climate change, the weather that this future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk–and weather-based variability–is the number #1 challenge facing the energy grid.Sunairio’s mission is to provide the highest-fidelity intelligence into energy and grid risks by translating the highest-resolution datasets of weather and climate variability into commercially-useful applications. We curate and generate scientifically-validated, model-consistent, localized historical climate data and future climate simulations which can be instantly integrated into existing grid modeling workflows and widely used energy modeling tools. Sunairio also provides a suite of energy and energy market simulations (at both asset and grid-level) that covers 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 VP of Data Science–Power Markets, will be responsible for all aspects of quantitative model development and energy market analysis. These responsibilities include:<ul><li>Overseeing and developing asset-level and regional-level quantitative energy models for variable energy resources (wind energy, solar energy, battery storage, hydro, and load)</li><li>Overseeing and developing quantitative energy price modeling algorithms for all North American power markets</li><li>Supervising the organization, maintenance, and updating of all fundamental weather, climate, and energy data</li><li>Maintaining a robust model validation protocol</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&nbsp;</li><li>Managing a team of data scientists and quantitative analysts&nbsp;</li></ul>WHAT WE'RE LOOKING FOR<ul><li>A passion for building new solutions that drive the energy transition</li><li>8+ years of experience in energy and energy markets analytics&nbsp;</li><li>3+ years of experience managing a team of data scientists</li><li>Expertise building machine learning models in the energy space</li><li>Command of power grid techno-economic fundamentals including security-constrained economic dispatch, locational marginal pricing, congestion, virtuals, ancillary services, co-optimization, capacity markets, curtailment, availability, etc.&nbsp;&nbsp;&nbsp;</li><li>MS/PhD in a technical field</li><li>Specific experience building regional energy supply-demand and energy market models in the Western Interconnect&nbsp;</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)&nbsp;</li><li>Intellectual curiosity</li><li>Ability to work collaboratively and independently</li><li>A deep understanding of weather data, weather forecasting, and climate risk</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:This is a remote position with a strong preference for the Eastern US Seaboard.We require one-week onsite visits to our office in Baltimore, Maryland&nbsp;every other month (6 onsites/year). We will provide an additional annual stipend to offset travel expenses.

VP, Data Science--Power Markets

About SunairioAs the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution. And due to climate change, the weather that our future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk--and weather-based variability--is the number #1 challenge facing the energy grid. Sunairio’s mission is to provide the highest-fidelity intelligence into energy and grid risks by translating the highest-resolution datasets of weather and climate variability into commercially-useful applications. We curate and generate scientifically-validated, model-consistent, localized historical climate data and future climate simulations which can be easily integrated into existing grid modeling workflows and widely used energy modeling tools. Sunairio also provides a suite of energy and energy market simulations (at both the asset and grid-level) that covers 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 Full Stack Developer will be responsible for:<ul><li>Building and maintaining Sunairio’s analytics front-end application (Svelte) and associated API (Java)</li><li>Creating new features and visualizations to deliver new insights into our unique dataset</li><li>Monitoring the performance and code quality of the web stack</li><li>Working closely with data scientists, data architects and business partners to identify and build products and features</li><li>Building and supporting APIs that enable platform connectivity between Sunairio’s data, simulations, and front end</li></ul>What We're Looking For<ul><li>A passion for building new solutions that drive the energy transition</li><li>3+ years of experience in software engineering, with a proven ability to build production-level data-centric products</li><li>Knowledge of data visualization</li><li>Strong SQL knowledge</li><li>Experience building, maintaining, and developing analytic web applications</li><li>Experience building applications in Amazon Web Services (AWS)</li><li>B.S. or higher degree in Economics, Finance, Computer Science, Physics, Mathematics, an engineering discipline, a related field, or equivalent professional experience</li><li>A creative problem-solver with outstanding communication skills and a commitment to technical excellence</li><li>Intellectual curiosity</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 focus 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:This is a remote position with a strong preference for the Eastern US Seaboard.We require one-week onsite visits to our office in Baltimore, Maryland&nbsp;every other month (6 onsites/year). We will provide an additional annual stipend to offset travel expenses.

Sunairio

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Jobs (3)

VP, Data Science--Weather and Climate

VP, Data Science--Weather and Climate

VP, Data Science--Power Markets

VP, Data Science--Power Markets

Full Stack Developer

Full Stack Developer

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Drawdown Solutions

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