No idea what your situation is, but I will mention a couple things that I have seen as both a job seeker and an interviewer for data science positions:
1. A lot of companies don't really know what type of data person they want or how to advertize for what they want. For example, they may have an ad for a data scientist that covers all possible skills: Hadoop, R, Hive, Spark, D3, SQL, machine learning, Bayesian stats, Java, Python, etc., but they really just need someone to do business analytics (mostly exploratory analysis and reports). Or they really need a data engineer...
2. A lot of companies don't know how to assess data science candidates. Most companies that are clueless either assess you as they would a software developer (testing you on sorting algorithms, big O, etc) or as a DB person.
3. There are lots of people looking for data science positions and they have a very broad range of skills. This means that while you might be a perfectly good candidate for some data science positions, you might not be a very good fit for the one any given company is looking for. And they have many people to choose from.
