We’re looking for a skilled Data Analyst with practical experience in Python and working experience in a Linux environment. If you possess knowledge of statistics and are proficient in designing models for implementation in applications, this opportunity is for you.
As a member of our client’s Engineering team, you’ll be responsible for designing and developing data pipelines, tools, and processes to reliably ingest and process massive amounts of data within our various systems.
Our client is one of the largest broadband communications and video services providers in the United States which provides audience-based, multi-screen advertising solutions to local, regional, and national businesses and advertising clients. They enable advertisers to reach more than 90 million U.S. households on cable networks, on-demand, and addressable television inventory across the U.S., and more than 45 million U.S. households through authenticated, privacy-compliant IP addressability supported by rich data sets, powerful analytics, and attribution services in a simple, user-friendly way.
We are building the next generation of ad planning and campaign optimization platform. We are excited by what we’re building, and we care about the quality of our code and our user experience. We expect you to balance high work standards with a pragmatic approach to getting things done. Our culture is fast-moving, and engineers who like to work on a wide variety of projects, try new technologies, and collaborate with cross-functional teams thrive with us. If this sounds like you, we’d love to talk.