This is a remote position with the option of working in our New York City office space.
Precisely PlaceIQ Data Scientists design, prototype, and test algorithms that turn hundreds of TBs of raw location data into valuable products. Our approaches include exploratory data analysis, hypothesis testing, creation of heuristics, and machine learning techniques. Working with extremely large data sets requires the design and development of highly memory- and CPU-efficient methods. We use a mixture of commercial, open source, and home-grown solutions. Experience with horizontally scaling statistical algorithms is a plus as is familiarity with Spark and/or the Hadoop ecosystem.
Our findings are built into PlaceIQ’s core products. So the technical skills we look for are a mix of computer science, problem solving, and statistics. We are a collaborative team and work closely with engineering, so we value the ability to get deep into the math behind algorithms. We also work closely with teams across the organization, so we look for the ability to communicate technical ideas to non-technical teams.