Everactive

Everactive (formerly PsiKick) is an industrial internet-of-things (IIOT) company that creates energy-harvesting batteryless sensors to monitor industrial equipment like steam traps and motors. Our founding team invented the lowest-power wake-up radios on the market, and we complement that IP with a full-stack solution spanning hardware, software, and analytics. We’ve got amazing investors and a long runway, and we’re a platform that will scale to millions of sensors. I’m looking for a Data Scientist to join me in our Ann Arbor office as the second member of the Data team. We’re working to detect and predict state changes in the equipment we monitor. I’m focusing on the data infrastructure and pipeline and need help with the algorithmic state detection and building tools to help in-house domain experts to annotate our data as efficiently as possible. Our core sensor outputs are stationary time series, and several unique aspects mean we need creative solutions beyond standard ML and forecasting approaches. As the second member of the team you will have significant input into how the data team operates and continues to grow. I’m looking for someone with several years industry experience and strong opinions about the right way to do things, including technology (tools, libraries) and process (workflow, hiring). I work primarily in Python (numpy/pandas/etc) with some R (tidyverse, Shiny) and deploy to AWS with Docker (ECS, EKS). I’m parallel to (not within) the software team who also uses a lot of go and typescript. We love Postgres, are adopting Gitlab (including CI/CD), and are experimenting with Timescale, Pachyderm, Hasura, and others.