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AI Took My Job! Ken Jennings’ name is vaguely familiar to people, but why? Because his profound knowledge on all things trivial led to him being the unbeatable champion of a TV game show called Jeopardy! It also put him in the gunsights of IBM. They spent thousands of hours, invested millions of dollars, all just to build a machine named WATSON that could defeat him playing that TV-derived game. See how Ken deals with the...
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 statistics. Sign...
Mobile phone data has a vast scope. Our phones track our location, record social activities by listing who we call or message, and know what we like or what we’re looking for by collecting data on our online behavior and use of apps. The recent Mobile User Demographics Challenge on Kaggle (by the Chinese platform TalkingData ) offers some insight into the volume and precision of the information available on mobile...
Big Data, AI and Machine Learning are today's buzzwords. Data nerds, business executives and politicians alike are talking about data-related opportunities and potential risks. But since when has this been the case and how have data-related interests developed over time? We've looked into this question using Google Trends data.  Google searches reveal people's interests Google search queries have become a powerful tool to...
Image recognition has been a major challenge in machine learning, and working with large labelled datasets to train your algorithms can be time-consuming. One efficient approach for getting such data is to outsource the work to a large crowd of users. Google uses this approach with the game “Quick, Draw!” to create the world’s largest doodling dataset, which has recently been made publicly available . In this...
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 Swiss employers want job applicants to know (showing...
Social science researchers collect much of their data through online surveys. In many cases, they offer incentives to the participants. These incentives can take the form of lotteries for more valuable prices or individual gift card codes. We are doing the latter in our studies here at CEPA Labs at Stanford. Specifically, our survey participants receive a gift card code from Amazon.     However, sending these gift card...
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....
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...
Many technical experts have come to predict something genuinely earth-shattering : In a few decades, artificially intelligent algorithms are quite likely to (far) outsmart the most capable humans in every cognitive area – from social skills, humor and creativity to science and technological innovation. One factor that’s driving the power of artificial intelligences is the availability of big data: Though many AI...
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 Switzerland 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...
Data science is flourishing in Switzerland and the demand for data specialists is high and rising. But do regional differences exists and can we identify certain clusters or hot spots? 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. Data science coast along lake Geneva We proceeded by...