Paperless Post: Data Engineer

We're seeking an experienced data engineer to build, scale, and maintain the core of our data pipeline and systems. Working closely with in-house data scientists, you’ll use statistical modeling and machine learning to run experiments and analyze data to help us uncover fundamental insights about our business. By asking the right questions, digging deep into the answers, and building solid systems that addresses them, you’ll play a vital role in driving our business forward.

The ideal candidate will have a good blend of programming, analysis, and communication skills. We're not expecting you to have everything on this list, but here are some plusses:

The PP Data team plays a crucial role in our product’s success. We get to dive into advanced data work—from machine learning to visualization, classifier creation to ETL pipelines—that solve complex business problems and increase the functional capabilities of everyone throughout the company. On the reporting side, we help ensure that all teams have the information they need to make sound business decisions. Above all, we’re a team that is excited about what we do.

Company-wide we enjoy an amazing ecosystem of an even gender split and healthy balance of engineers and designers. Because Paperless Post isn’t supported by ad revenue, we get to spend our days focused on creating and improving on the ideal version of our platform, product, content, and partnerships for our users.

To apply please visit: https://www.paperlesspost.com/about/jobs/274934