Top 10 In-Demand Skills for Data Scientists

Data science is booming right now. Just between 2011 and 2012, companies have increased their job postings by 15,000 percent, according to the FICO, a financial services analysis company.

Considering the speed of digital growth, this huge uptick in job demand makes sense. One study by the International Data Corporation that predicts the 'digital universe' will reach 40 zettabytes - that's around 45 trillion gigabytes - by 2020, a 50-fold growth in a decade, according to Olaf Swantee, CEO at EE on LinkedIn Today. It’s hard to fathom.

We rely on talented data scientists to make sense of these wild amounts of massive piles of data that we need to figure out patterns, habits and other interesting analysis. Data scientists are not only technically savvy but also analytically brilliant.

We wanted to dig deeper into the makings of a superstar data scientist. So, we asked our very own team of talented data scientists to analyze CyberCoders’ massive database of job postings and pinpoint exactly which top skills companies are looking for in a top data scientist.

Without further ado, here are the top 10 most in-demand skills:

1. Machine Learning 

2. JAVA

3. Big Data

4. Data Mining

5. Hadoop

6. Statistical Analysis

7. Python

8. Data Analysis

9. Algorithms

10. R

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