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, to 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 just closed our Series A round from two top Silicon Valley VCs. We are now looking for a Senior Data Scientist to join our team of eight 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.
As a Senior Data Scientist you’ll play a key role in our core data science team. This includes contributing to the development of our data science capabilities and applying state-of-the art machine learning techniques on real-world energy forecasting use cases. We’re looking for someone full time with at least three years of experience in a world-class data science or software engineering environment and a proven record of being an effective collaborator.
Our current data science team is well-versed in a variety of data science techniques and 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.
Examples of projects you might lead depending on your skills and interests: