MystAITeam Myst AI

Forecasting for clean energy


Are you excited about machine learning? Want to contribute to a more sustainable future? Myst is a startup that uses artificial intelligence to help energy companies better predict the future, increase renewable energy adoption, and reduce carbon emissions. We are building a platform that helps companies to create highly accurate forecasts at unprecedented scale. 

We recently closed our Series A round from two top Silicon Valley VCs. We are now looking for another Data Scientist to join our team of nine in San Francisco. You’ll be joining a group of people committed to positive environmental impact from a wide set of backgrounds, ranging from academia and nonprofits to technology companies like Google, Apple, and Nest. 

Who are we looking for?

You will be playing a key role in our growing data science team, helping to scale our state-of-the art machine learning techniques to a broad range of real-world energy forecasting use cases. We’re looking for someone full time with experience in a world-class data science, software engineering, or academic environment, plus a proven record of being an effective collaborator.

Our current data science team is well-versed in a variety of data science techniques and has a deep understanding of energy forecasting use cases. As a startup, we’re always tackling new challenges, so we prioritize candidates who learn quickly and make wise decisions across a variety of domains. Our current technical stack is Python, where we leverage open source packages, such as TensorFlow, Scikit-learn, and XGBoost. Our infrastructure is hosted in Google Cloud Platform, where we frequently run large scale AutoML experiments.

Some of the best people we’ve worked with did not follow conventional paths. We’re also aware that women and other historically underrepresented groups are less likely to apply to a job if they don’t believe they meet all of the criteria.  If you think you’re a good fit, even if you don’t meet the exact qualifications below, please reach out to us. We’d love to hear from you.

What might you be working on?

  • Collaborating with our business development team on solving real-world forecasting use cases for energy companies
  • Presenting the results of your own data analyses directly to our clients
    Studying novel time series forecasting approaches from research environments
  • Improving and streamlining our existing data science workflows
  • Further automating and optimizing model selection
  • Bringing new, energy-specific data and expertise into our models


  • Comfortable with machine learning techniques such as gradient tree boosting and recurrent neural networks
  • Three years of work experience in a data science related field or equivalent time conducting research in the energy domain
  • Software development experience in Python or significant experience with energy-related modeling using
  • Python 
  • Experience with statistical packages in Python (e.g. TensorFlow, Scikit-learn, XGBoost, Pandas, Numpy) and database languages (e.g. SQL)
  • Clear communicator with enthusiasm for learning new techniques!

About Myst

We are passionate about Myst because we use state-of-the-art technology to increase renewable energy adoption and reduce emissions and waste. We work with a dozen leading energy companies in Europe and North America, often helping them save millions of dollars a year while reducing their carbon emissions. 

We are committed to creating a culture in which people can be themselves and we strongly believe in building a diverse, equitable, and inclusive team. Myst offers a competitive salary, stock options, and benefits. In addition, we provide new hires the ability to choose between different risk/reward trade offs (i.e. combinations of stock and salary).

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