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425 points whoishiring | 1 comments | | HN request time: 0.232s | source

Please state the job location and include the keywords REMOTE, INTERNS and/or VISA when the corresponding sort of candidate is welcome. When remote work is not an option, include ONSITE.

Please only post if you personally are part of the hiring company—no recruiting firms or job boards. Only one post per month, please. If it isn't a household name, explain what your company does.

Commenters: please don't reply to job posts to complain about something. It's off topic here.

Readers: please only email submitters if you personally are interested in the job—no recruiters or sales calls.

To search the thread, try kennytilton's WhoIsHiring browser at https://kennytilton.github.io/whoishiring/ or kristopolous' console script at https://news.ycombinator.com/item?id=10313519.

1. h1insights ◴[] No.17442693[source]
H1 | Data Engineer, Data Scientist, Full-Stack Engineer | New York, NY | Full Time/Onsite

Our team is building a suite of machine learning tools to help solve problems in the life science space. This includes the classification of researchers and physicians to their scholarly research, predicting the altruistic activities of donors to non-for-profit foundations, and much more.

We're growing fast in a field that is also growing fast, so we're looking for people who want to grow fast too. We think an environment that is supportive, collaborative, and sophisticated is the key to making this happen.

We're working with technologies like Python, Scala, Spark, React, Docker, Elasticsearch, Kubernetes, and Terraform, and we're experimenting with many more. Our data science group is math-focused and loves deep learning, Bayesian modeling, but also good old-fashioned regression.

If creating foundational infrastructure in data science using the latest tools and techniques sounds appealing, we'd love to start a conversation. Email me: josh.geisler(at)h1insights.com

More info here: https://h1insights.com/