Data Scientist / Simulator Engineer

Sunlight reflection may be the only available option, alongside dramatic emissions reductions, adaptation, and rapid scaling of carbon removal, to rapidly limit many climate impacts over the coming decades.  But we don’t know nearly enough about it to make a scientifically-informed decision about potential deployment – and we’re not on a trajectory for rapid, legitimate decision making.

Reflective is a philanthropically-funded initiative to develop the necessary knowledge base and do the requisite technology research and development, urgently and responsibly. 

DATA SCIENTIST / SIMULATOR ENGINEER

What you’ll do

As a Data Scientist / Machine Learning Engineer, you will contribute to Reflective’s scientific and technical activities, including building future versions of our SAI simulator, developing new open source software, and identifying opportunities to leverage data science, machine learning, and cloud computing to accelerate SRM research. If you’re excited about applying cutting edge data science tools to tackle big climate problems, please apply!

Responsibilities

• Build upon and maintain Reflective’s open-source SAI simulator 
• Design and build open source data analysis tools, models, and data products
• Contribute to new and existing community-developed open-source software libraries,
• Participate in and help guide engagements with external collaborators and partners, and
• Document, write about, and present our work.

Who you are

• You have a Masters or PhD in Computer Science, Data/Information Science, Statistics, Atmospheric/Climate Science, or related fields. 
• You have 3+ years experience with scientific Python, including work with libraries like numpy, pandas, xarray, and scipy 
• You have 3+ years experience with data science and/or machine learning in either a research or applied setting
• You have strong experience with version control systems, particularly Git, and are comfortable collaborating on codebases using GitHub
• You have experience contributing to and, ideally, leading open-source scientific software projects. 
• You’re creative and attached to outcomes, not process – you’re constantly looking for new paths to the destination and excited to switch gears if there’s a faster, better way to get something done. 
• You are passionate about Reflective’s mission. 

• You have experience with geospatial data analysis, visualization and user experience. 
• You have knowledge of more than one coding language, ideally including Fortran. 
• You have familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker 
• You are able to communicate with impact and confidence, both orally and in writing.
• Ability to work from SF or Ithaca some of the time. 

• A nonprofit background. Reflective is technically a nonprofit, but it doesn't feel like one.