Chartbeat is a real-time analytics service designed for real-time action used by everyone from The Wall Street Journal to Al Jazeera. We’re democratizing data by putting it in the hands of people who need it to make decisions and take action — right now. Our Meatpacking District, Manhattan Office is looking pretty damn good at three years old. We’re full of incredible talent, funded by some of the top investors in the world (Draper Fisher Jurvetson, Index Ventures and Betaworks), and we’re growing. Fast.
We’re an eclectic team of circumnavigating polar explorers, nunchuk-wielding data scientists, pint-sized Kansan product queens, Danish hackers and freakishly strong designers. We have opinions. We’re expected to share them — right and wrong. And that’s how we build amazing things together every single day.
We’re a startup, and we all have a stake in the business. So we work hard, but we trust you to work the hours that it takes to give us the best of you — 9am or 9pm. We don’t track vacation because you can either make a decision on that with the good of the company in mind or you probably aren’t right for us anyway.
Data is life.
You eat, sleep, breathe, live in it. Well, we all do, really, right? Everything is data. But not everyone knows how to take it all and make sense of it and do something with it.
We have tons and tons of data here, and we need your mad skills to come in and work with the Data Scientists to separate the signal from noise and your killer creativity to help turn patterns and insights into useful products and features.
You have some serious knowledge of algorithms and data mining techniques, but that’s not the only you need to be the best damn Chartbeat Data Engineer you can be. Questions being asked and problems we need to solve are often loosely defined — it’s up to you to identify the right plan of attack: working with the Data Science team to find the data you need — and if don’t have it, figuring out how we can get it, store it, and analyze it to death.
In this startup of ours, unlike in research, you understand that it’s far more important to get something out the door that works pretty well (even if it’s not yet 100%) and iterate. We’re about shipping progress not waiting for perfection.
Partnering with Data Science, Product, Engineering, and Product Outreach to develop, create, and vet ideas for new products and features
Formulating and developing approaches to knock our high-level goals out of the park
Building prototype systems to test hypotheses and features and turning them into full-fledged production systems
Helping design and implement database schema and identify new data we need to capture
Letting your creativity run wild
Experience formulating, approaching, and solving big data problems
Solid mathematical, statistics, and/or machine learning background (or any other field that uses highly analytical techniques like physics and electrical engineering)
Python a must-have
++ points for AWS experience
Extra super ++ points for time-series analysis background
Apply by sending a letter and your resume to firstname.lastname@example.org