Your role has two primary duties:
This means that you will interact with users (both community and clients), engage in team prioritization of those issues, and work to implement fixes and features to improve the experience and capabilities of the Python ecosystem, verifying that those fixes resolve user needs.
This job requires good communication, excellent software design and development, and an understanding of the Python data science space.
Coiled connects data scientists and researchers to distributed infrastructure using the Python data science stack (Numpy, Pandas, Scikit-Learn, …) and Dask, a popular open source library for parallel analytics. We come from the open source Python community, and are long-time maintainers of this stack in general and Dask in particular.
Through Dask, we enable analysts and scientists to understand the effects of climate change, fight cancer, and play the stock market. We have a wide range of customers solving these problems who need to deploy Dask throughout their organization to enable data science teams.
This requires connecting data scientists to powerful distributed infrastructure so that they can be effictive in in their job. This is hard, and doing it well requires attention to user experience, parallel algorithms, and distributed infrastructure.
You should feel comfortable doing the following:
Coiled is a remote-first company. We support you living and working from where you feel fulfilled, providing that you can communicate effectively with your team.