Based in Austin, TX, Square Root is a leading edge enterprise SaaS provider with a rapidly growing team of technology innovators. In 2013, Inc. magazine ranked Square Root as the 41st fastest-growing, privately held software company in America on the Inc. 500ǀ5000 list.
Square Root has grown its team and customer base by standing by its founding principle: data should empower. Square Root’s cloud-based software leverages advanced data analytics to help businesses improve overall performance. Today, some of the biggest automotive, energy, and retail players use Square Root’s platforms and applications to optimize their daily operations.
Our data scientists do everything from data prep to data mining and statistical analysis to business presentation. They are pivotal to our projects from start to finish, developing the entire path from business problem statement to data-driven solution recommendation. Data scientists need to be good at both asking the right questions and finding creative, technically rigorous answers.
Square Root data scientists work with detailed data that describes the inner workings of the automotive industry: consumer web-browsing and purchase information, customer demographics and psychographics, vehicle production and delivery specs and schedules, vehicle sales performance and history, incentives, repair information, dealership operations, etc. They dream up and answer big questions: What makes some dealerships more successful than others? How much sales lift comes from incentives? What kind of marketing is effective? What mix of product packages and features should be manufactured? How many will sell? Who is likely to buy an electric car?
We don't specialize in particular algorithms or modeling approaches -- we are always learning and looking for the best approach to the problem at hand. The best candidates will have both exceptional technical/statistical skills and strong business acumen, and be interested in fast-paced work and varied responsibilities. They will be knowledgeable and capable enough to find a way to leverage data to answer nearly any automotive business question, choosing their own analytical approaches and owning project results. (Though there is an opportunity to transition less complex work to offshore teams.) They'll be excited to present results that could change the way businesses operate, and able to present those simply and clearly, in terms that business-people understand.
Our culture is at the core of everything we do. We have fun, but we work hard. So, as we grow we’re not only looking to hire the best and brightest, but we’re also looking for people that share our values. This is the code we live by: