Atmospheric Data Scientist (Senior/Staff)

| San Francisco, CA, USA | Remote
Sorry, this job was removed at 4:50 p.m. (CST) on Tuesday, June 18, 2024
Find out who's hiring in New York City, NY.
See all Data + Analytics jobs in New York City, NY
By clicking Apply Now you agree to share your profile information with the hiring company.
About our Company

Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry.

New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern software stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.

What we are looking for

We are looking for an experienced Atmospheric Data Scientist with a strong background in meteorology, data engineering, and machine learning (ML). The ideal candidate will have a deep understanding of weather phenomena, predictability patterns of underlying numerical weather prediction models, and developing ML solutions for predicting derivative products. You should be proficient in handling large datasets, developing predictive models, and communicating weather predictability to non-atmospheric scientists.  A strong preference will be given to experience in developing probabilistic models using various machine learning methods.

What you will do

You will be a leading expert in weather modeling across the enterprise with frequent cross-functional communication to learn weather related business challenges and collaborate internally with other science and engineering team members to develop predictive models to solve those business problems. Your work will involve analyzing atmospheric data, creating predictive models, and collaborating with cross-functional teams to ensure our battery storage systems operate at peak efficiency.


  • Influence product and engineering roadmaps by presenting research insights, experimental results, and model performance metrics related to atmospheric data and its impact on energy markets.
  • Develop sophisticated models and tools that analyze the behavior of electricity markets, incorporating atmospheric data to predict power prices, ancillary services dispatch, grid network models, transmission outages, and constraints.
  • Leverage advanced weather forecasting and atmospheric data models to inform strategic decisions and evolve organizational direction.
  • Initiate and lead cross-functional engagements to address complex and ambiguous challenges where innovative atmospheric science research can drive significant company impact, prioritizing initiatives that integrate atmospheric data with energy market optimization.
  • Tackle complex scientific and operations research problems by integrating atmospheric data insights with existing energy optimization frameworks.
  • Develop and lead medium to long-term ML modeling projects focused on advancing the state-of-the-art in integrating atmospheric data with energy asset management and financial trading performance.

The minimum qualifications you’ll need

  • Advanced degree (Master's or Ph.D.) in Atmospheric Science, Meteorology, Data Science, or a related field.
  • Proven experience in atmospheric data analysis and forecasting.
  • Strong programming skills in Python.
  • Expertise in machine learning algorithms and statistical modeling.
  • Experience communicating to non-atmospheric scientists deeply technical weather prediction challenges and solutions.
  • Knowledge of energy markets and renewable energy systems is a plus.
  • Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team environment.

Nice to have additional skills

  • Demonstrated experience with developing and releasing operational probabilistic ML prediction models in the weather and/or energy sector
  • Experience with forecasting & time series problems
  • Experience with multiple Numerical Weather Prediction (NWP) models
  • Demonstrated track record of academic paper or social media publication 
  • Experience with experiment tracking and presenting results to non-technical audiences
  • Experience with various US energy markets, including PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO
Not sure this is the right role for you?

We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. 

What we offer

Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. 

Employee benefits include: 

  • Competitive base salary and a comprehensive medical, dental, vision, and 401k package
  • Opportunity to own a significant piece of the company via a meaningful equity grant
  • Unlimited vacation and flexible work schedule
  • Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London
  • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

More Information on Equilibrium Energy
Equilibrium Energy operates in the Energy industry. The company is located in San Francisco, CA. Equilibrium Energy was founded in 2021. It has 55 total employees. To see all 4 open jobs at Equilibrium Energy, click here.
Read Full Job Description
Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.

Similar Jobs

Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.
Learn more about Equilibrium EnergyFind similar jobs