If we look at the best - and highest paid - jobs in the United States, Data Science professionals rank third. It is a discipline that cuts across all areas.<\/b><\/p>\n\n\n\n
If we look among <\/span>the best jobs<\/span><\/a> -and the highest paid in the United States, <\/span>Data Science professionals are in third place.<\/b>. It is a discipline that is present <\/span>in all areas<\/span><\/a>. We are living at a time when most of the leading companies are finalising their steps towards a new era. <\/span>data driven<\/span><\/i> and no one wants to be left behind.<\/span><\/p>\n\n\n\n It is a <\/span>transformation<\/span><\/a> in the field of employability in which everyone wants to position themselves and lead in a market that is clearly booming. Professor Viktor Mayer-Sch\u00f6nberger once said that big data is the new gold. And it is not enough to find it, it also has to be polished.<\/span><\/p>\n\n\n\n Standing out is not easy. Firstly, because this gigantic industry requires trained talent, capable not of tackling problems, but of anticipating them. Secondly, because training is just one node in the network, an element that needs to be supported by activities, fairs and events that put professionals on the right track.<\/span><\/p>\n\n\n\n It is for this reason that <\/span>IMMUNE Technology Institute<\/span><\/a>with more than 2,000 m2 to train professionals, offers first class training accompanied by direct contact with the industry through its <\/span>partners <\/span><\/i>and the organisation of <\/span>cooperative and participatory events in which talent can make its mark.<\/b>as is the case with the <\/span>datathones<\/span><\/i>.<\/span><\/p>\n\n\n\n For those who don't know what the <\/span>datathones<\/span><\/i>Here's an analogy: in the old days, the <\/span>hackathons<\/span><\/i> referred to those competitions where a handful of programmers competed to develop the best solution to a software problem - not just a security breach, as one tends to think.<\/span><\/p>\n\n\n\n The <\/span>datathones<\/span><\/i> have a similar objective, but through meetings between data scientists. In these spaces, they discuss and look for solutions to different needs through predictive models, programming applications or management platforms. Companies can finally find candidates with the ability to translate the questions and analytical problems of a business until they find the right answers.<\/span><\/p>\n\n\n\n In these appointments, <\/span>the vast majority of participants are experts coming from engineering, computer science, mathematics or physics backgrounds<\/b>. They are knowledge agoras where experience and new ideas are acquired, and where the main exponents of the sector are met. It is therefore a way to ensure the visibility of these future data science experts.<\/span><\/p>\n\n\n\n Nowadays, there are a handful of alternatives to become visible, add to your CV and learn. The <\/span>AI & Data Science in Trading<\/b> is held in New York every March and brings together leading experts in Artificial Intelligence and Machine Learning applied to the investment industry. In San Francisco, the <\/span>Spark + AI Summit<\/b> brings together the key figures in Apache Spark, the leading Big Data computing platform. And also in San Francisco we can find <\/span>The Web Conference<\/b>the international discussion forum on the evolution of the internet.<\/span><\/p>\n\n\n\n On this side of the Atlantic, data scientists have a voice and a vote at the Machine Learning Summer School (<\/span>MLSS<\/b>) London, the <\/span>RecSys<\/b> held in Copenhagen every September or the Data Council in Barcelona, which presents the most advanced technology in these sectors. And we could still talk about international conferences such as the ICDM held in Beijing or many other popular councils such as the ODSC and the future <\/span>Data Science Conference 2020<\/b> which is scheduled for 16 September in Belgrade.<\/span><\/p>\n\n\n\n And if you prefer not only to listen to experts in the sector, but also to test your knowledge in data, connect with other people with the same interests as you and with companies looking for Spanish talent, on 19 September you can find out more about the Spanish market. <\/span>you can participate in the Datathon organised by <\/b>IMMUNE Technology institute<\/b><\/a> in collaboration with Spanish StartUps. It is an opportunity to <\/span>\"competing in a gamified environment<\/b><\/a>to make yourself known in this world and expand your curriculum.<\/span><\/p>\n\n\n\n The current recruitment processes impose <\/span>more proactive communication<\/b>. Long gone are the old offers published in the INEM, receiving applications by fax or telephone. Or the pages of newspapers dedicated to this purpose: the agencies would pile up the CVs they received by letter and you never got to have a real follow-up on how the process was progressing.<\/span><\/p>\n\n\n\n Job portals have been left as a remnant in the face of the increasingly used resource of resorting to <\/span>campuses, lectures and surveys to find the most qualified students<\/b>. The university is also, to a certain extent, a kind of job portal where observers scrutinise the best prepared.<\/span><\/p>\n\n\n\n And if we want companies to find our profile, we need to maintain a <\/span>active conversation<\/b> through our own Twitter, LinkedIn or even GitHub accounts. Success can come knocking at our door in different ways; but, as Picasso would say, \"if the muses come, let them catch you at work\".<\/span><\/p>\n\n\n\n Thus, other strategies no less important in the challenge of excelling in the Data Science industry include <\/span>spotting benchmarks and keeping up to date<\/b>. Data science encompasses a wide range of different disciplines. Engineers in <\/span>deep learning<\/span><\/i>We are talking about a complex art where statistics, analytics, data mining and machine learning coexist. And the better the training, the better the chances of being found.<\/span><\/p>\n\n\n\n Fortunately, the world of <\/span>data science<\/span><\/i> is full of names where you can see yourself reflected, such as the YouTube channels of <\/span>Corey Schafer<\/span><\/a>, <\/span>Sentdex<\/span><\/a>, <\/span>Data Science Dojo<\/span><\/a>the popular <\/span>Siraj Raval<\/span><\/a>, <\/span>Andreas Kretz<\/span><\/a> o <\/span>Keith Galli<\/span><\/a>. Some of them, eventually, publish job offers. In any case, it is a good way to discover opportunities, participate through comments and gain relevance and visibility. Don't think that seclusion will help you advance your knowledge and pre-eminence in an ever-changing industry.<\/span><\/p>\n\n\n\n De nada sirve captar la atenci\u00f3n de los \u00abcazatalentos\u00bb si hemos construido una estatua con pies de barro. La formaci\u00f3n y especializaci\u00f3n son ineludibles.<\/span><\/p>\n\n\n\nDatathones: competing by cooperating<\/h2>\n\n\n\n
New times, new methodologies<\/h2>\n\n\n\n
Talent has to be nurtured<\/h2>\n\n\n\n