Today, the Bright Data Science Team returned for a second year of volunteering for the Science Alliance at Redwood Heights School, a public elementary school in Oakland, CA. We are happy to be a part of an event which helps students develop a love for the sciences Once again, Ben manned the baggy greenhouse station. […]
As a Bright employee, I constantly get asked the question, “What does Bright do?” The unofficial company line goes, “We try to make hiring more efficient.” While that’s an entirely accurate statement that acts as the guiding light for all we do, it’s a bit of an oversimplification. As a Bright Data Scientist, I think about […]
The US economy created a sluggish 131,000 jobs in February, according to our Data Science team at Bright.com – even fewer than January’s 189,000 jobs, and it doesn’t appear that a recovery is on the way any time soon. A CNN article reports that $85 billion in federal budget cuts, set to take place today […]
In order to build a good predictive model, a data scientist has a lot of things to consider. But something that often goes overlooked or undermentioned—likely because it’s not that glamorous—is cleaning the data. You want to build the best mathematical model that works for your data, but a step of tantamount importance is getting […]
Demand for high-level candidates remained steady in January across the country, especially in tech and government; however, the unemployment rate remains high. According to the Bright Employment Report, the labor market gained 189,000 net jobs in January 2013. Out of context, this seems like a healthy number, but in fact this level of demand for […]
