Senior Data Scientist

  • Myst AI
  • San Francisco, CA, USA
  • Sep 11, 2020
Full Time

Job Description

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:

  • 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
  • Contributing to our AutoML approach for time series forecasting

Minimum Qualifications

  • Minimum of 3 years of work experience in data analysis related field, including expertise with statistical data analysis of time series data
  • Proficient software development experience in Python 2.x or 3.x
  • Experience with statistical packages in Python (e.g. TensorFlow, Scikit-learn, XGBoost, Pandas, Numpy) and database languages (e.g. SQL)

Preferred Qualifications

  • M.S. degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering) or equivalent practical experience
  • Experience articulating and translating business questions and using statistical techniques to arrive at a solution using available data
  • Demonstrated leadership and self-direction, and willingness to both teach others and learn new techniques
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem
  • Effective written and verbal communication skills
  • Deep understanding of state-of-the-art machine learning techniques such as gradient tree boosting, recurrent neural networks, autoregressive neural networks

Organization Type

Company  

Organization Size

11-50  

Sectors

Energy

Climate Solutions

Energy Management