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Today, data science specialists are among the most sought-after in the labor market. Being able to find significant insights in a huge amount of information, they help companies and organizations to optimize the structure's work.  The field of data science is rapidly developing and the demand for talent is changing. We use job offerings to analyze the current demand for talent. After performing a  first analysis in 2017 , this...
Das Erlernen neuer Programmiersprachen ist eine Investition ins Humankapital. Die Ermittlung des Return on Investment kann daher sehr aussagekräftig sein. Die Anforderungen für jede Branche und jeden spezifischen Job sind sehr spezifisch – eine verallgemeinerbare Antwort auf diese Frage zu finden, ist deshalb schwierig. Ein Ansatz könnte aber darin bestehen, die erforderlichen Softwarekenntnisse bei...
Demand for professionals in data science and analytics is expected to rise significantly over the next years (cf.  this study  by IBM). In order to keep track of future job trends, we started the DataCareer Job Market Index (DJMI) in July 2017. We track job openings on the biggest online job board,  Indeed , in the fields of data science and analytics, data engineering, business intelligence, artificial intelligence and...
Much has been written on the most popular software and programming languages for Data Science (recall, for instance, the infamous “Python vs R battle”). We approached this question by scraping job ads from Indeed and counting the frequency at which each software is mentioned as a measure of current employer demand. In a recent blog post , we analyzed the Data Science software German employers want job applicants to know...
Learning new programming languages is an investment in human capital. Figuring out the return on investment can thus be very informative. There are very specific requirements for each industry and specific job, and finding a generalizable answer to the question proves quite difficult. One approach is to analyze the required software skills in job postings, which reflect current demand and may therefore indicate general return on investment....
Data science is flourishing in Germany and the demand for data specialists is high and rising. But do regional differences exists and can we identify certain clusters or hotspots? Current job openings may indicate the growth in data science jobs in each region. We downloaded all openings on Indeed to obtain a rough idea of where in the country data science is booming.   // Berlin and Munich...
One approach to estimate and track employer demand of data science software is to analyze which skills are asked for in job ads. We did this using job ads on Indeed and showed which data science software skills are most in-demand in Germany and worldwide .  In this post, we describe the methods these analyses are based on. We worked with R, as it offers convenient packages facilitating the task.    Searching for...
Since the dawn of the digital age, the amount of data available to businesses has risen enormously. With growing servers full of data, the demand for the skill to 1) build the required infrastructure and 2) understand and analyze the datasets has greatly increased. In 2012, Thomas Davenport and T. J. Patil were already advertising data science as “ The Sexiest Job of the 21st Century ” in the Harvard Business Review. Their...
In early 2017, “data scientist” was named the “Best job in America” for the second time in a row by the popular job site Glassdoor . Despite the surge in demand for data scientists in the tech and other industries, landing a job at a prestigious company is no easy feat. Based on our conversations with recruiters at top firms as well as senior data scientists, we have identified the four top skills that will get...