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Will the Real Senior Dev Please Stand Up? (2021 Edition)

A year ago I wrote an article for Dzone titled The Rise and Fall of a Senior Developer. Filled with personal anecdotes and stories from my years as a software engineer, the article was a critique of industry practices surrounding the somewhat controversial issue of ranking programmers’ seniority.

I realized that I might sound like an elitist dinosaur patronizing the upcoming generation of software engineers. A sort of “back in my day we did things differently” mentality that every generation seems to age into.

So you can imagine my surprise when the article became not only my most popular submission, but caught the eye of Dan Lines, host of the Dev Interrupted podcast. 

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The Complete Data Science LinkedIn Profile Guide

Why Data Scientists Should Be Using LinkedIn

To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions. Studies performed by Indeed’s Hiring Lab show an overall increase of 256% in data science job openings since 2013, with an increase of 31% year-over-year as recently as December 2018. Data science is a vast, complex industry with many subsets.

Variations in roles oftentimes require such specific skillsets that positions are left unfilled for an average of up to 45 days. So, what does this mean for you as someone in data science, engineering, or machine learning? You’re a hot commodity. There are start-ups, unicorns, and conglomerates that will want to work with you. We can guarantee it. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. It’s imperative you optimize your skillsets on LinkedIn, and you should start now!

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5 Reasons to Use AI in HR

Artificial Intelligence (AI) in recruitment is changing the human resources (HR) game drastically. Today, AI in HR is reshaping the way companies tackle and manage their workforce and make plans, which not only increases productivity but employee engagement in general.

According to Randstad Sourceright research, 76% of 400 global human capital leaders who participated in a research survey accepted that technology is playing a critical role in talent engagement. Around 48% are already investing in creating dashboards for analytics.