We've seen an increasing number of listings that advertise for the specific job title of Data Scientist. As more companies make use of their data and turn numbers into actionable insight, it's not surprising that data titles are rising in demand.
In January 2013, there were 1,030 job listings that advertised for a Data Scientist. Over the past 30 days, there were about 1,930 job ads with this title. This is an 87% increase.
Data Scientists were most commonly advertised in the professional, scientific, and technical services sector, which includes computer systems design and related services and management, scientific, and technical consulting services. However, wholesale and retail trade experienced the biggest year-over-year increases in-demand.
Below is a list of sectors that had the greatest number of ads for this job title.
Is hiring for a Data Scientist likely to be challenging? According to our Hiring Scale, which ranks hiring difficulty on a scale of 1 - 99, with 99 indicating hard-to-fill, Data Scientists score a 63. This means that Data Scientists are likely to be moderately difficult-to-fill. If you're actively recruiting for Data Scientists or expect to be in the future, then you may want to consider establishing a data science team rather than a dedicated position. In an Information Week article, Dr. Michael Wu, Chief Scientist at Lithium Technologies suggests that instead of hiring a Data Scientist, hire for 3 separate jobs. He says there's a misunderstanding of what a data scientist really is and that the actual duties should be performed by people with different skills sets: a business analyst, a machine learning expert, and a data engineer. He goes on to say that it's nearly impossible to find one person who excels in each of these areas and that organizations should instead build a data science team. Of the titles Dr. Wu suggested, Data Engineer is likely to be the hardest-to-recruit, scoring an 82 on the Hiring Scale. Below are Hiring Scale scores for Data Scientists, as well as Business Analyst and Machine Learning Expert as a comparison.
Hiring Scale Scores for Data Scientist Team Positions
Regardless of which job you are hiring for, there are ways you can broaden your candidate supply. To reduce hiring difficulty for Data Scientists, Recruiters may want to refer to other job titles in their ads or expand their talent pool by looking for candidates with similar titles. As the terminology Data Scientist was formed in 2008, not many professionals may be using that exact title, but they may have the experience necessary for the position. The most commonly advertised job titles for Data Science positions are:
Will you be recruiting a data science team or Data Scientist in 2014?