VP, Data Science--Weather and Climate
ABOUT SUNAIRIO
As 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 RESPONSIBILITIES
The VP of Data Science–Weather and Climate, will be responsible for all aspects of quantitative meteorology and climate science.
These responsibilities include:
Overseeing the continuous improvement of Sunairio’s market-leading high-resolution probabilistic climate model
Managing innovative R&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
Supervising the organization, maintenance, and updating of all fundamental weather and climate data
Maintaining a robust model validation protocol and benchmarking against major NWP, AI weather forecasts, and GCMs
Generating original content for blog posts, white papers, and conference presentations that demonstrate the unique Sunairio value proposition
Representing Sunairio at industry conferences and events
Managing a team of data scientists and quantitative analysts
WHAT WE'RE LOOKING FOR
A passion for building new approaches to weather forecasting and climate modeling
8+ years of experience in quantitative meteorology, NWP, or climate science
3+ years of experience managing a team of data scientists
Expertise building probabilistic weather models using statistical and machine learning frameworks
Strong background in machine learning and AI methods for downscaling and prediction
MS/PhD in meteorology, atmospheric science, physics, or a related technical discipline
Specific experience with atmospheric dynamics that affect variable energy resources (electricity demand, wind generation, solar generation, hydro)
Understanding of probability theory and statistical inference as it relates to evaluating model performance
Creative problem-solving, outstanding communication and organizational skills, and a commitment to excellence
Experience with the Python scientific computing environment (Pandas/Numpy/SciPy)
Intellectual curiosity
Ability to work collaboratively and independently
A deep understanding of the relationship between weather, climate, and grid risk
Hands-on experience developing and implementing robust models and algorithms
WHAT WE OFFER
The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensation
The chance to work on innovative solutions to problems of critical importance
A truly collaborative team environment
The ability to help shape company culture
Competitive salary and incentive-based compensation plan
“Platinum” health insurance plan
401(k) with company match
Flexible vacation policy
Amazing swag
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 every other month (6 onsites/year). We provide an additional annual stipend to offset travel expenses.