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By all accounts, the national housing market in the US stabilized with a recent report showing year-over-year growth at 6.8 percent for October 2015. However, while interest rates remain near all-time lows, it’s estimated that millions of Americans are unable to take advantage of this opportunity because they are unscoreable using the current credit score model mandated by Fannie Mae and Freddie Mac (“the GSEs”). Under their current guidelines, the GSEs require mortgage lenders to use an older version of a consumer’s FICO credit score when assessing their credit risk. This model is based on data from 1995 to 2000 and unnecessarily excludes millions of qualified borrowers. For instance, VantageScore 3.0 allows for the scoring of 30–35 million more people that are currently un-scoreable under the legacy credit score model.

As data breaches become more prevalent, companies must try to stay ahead of the curve and be prepared to respond to any kind of security incident. In an effort to provide a glimpse into what 2016 could bring, Experian Data Breach Resolution released its third annual Data Breach Industry Forecast white paper.

The following interview was conducted by William Vorhies and featured on Data Science Central. Q: What work does a data scientist do and what knowledge do they need? A: 90% of the data in the world has been created in the last two years. Data Scientists retrieve, sift, analyze, process, and store all the data according to business or consumer needs. Simply put, Data Scientists convert the collected and analyzed data into business intelligence. Thus, there are multiple attributes a Data Scientist should have. Not only should they have technical expertise and coding capabilities, but they should also have good intuition and communication skills.