Organizer : 10,000 Data Scientists for Europe
“The problem for AI in Europe is not the money, it is finding the talent” (Leading European AI practitioner)Data Science, Data Analytics, and Artificial Intelligence constitute the fastest-growing job market for the very highly qualified. Guidance: How do I find out if a career in data analytics or data science is right for me?A customizable roadmap for completing the transition in 6 to 9 monthsTips and tricks on approaching the labor market and hiring managers Ph.D. and postdoc target participants Any Ph.D. or postdoc with a numerate background – e.g. STEM, statistics, econometrics – that is curious about the opportunities in the industry and in startups.Online workshop – Join from anywhereAll attendants receive the link to the online live meeting. After the event, you receive a link to the workshop materials.Proof-of-conceptAn ongoing event series since 2018 in university towns and online, including repeated collaboration with the Max Planck Society, and the Max Planck PhDNet, Helmholtz Juniors, and the Leibniz PhD Network. We have supported >200 data talents with managing the transition and writing an industry-ready CV You can look at the workshop slides prepared for the 2019 N2 conference of the Max Planck PhDNet, Helmholtz Juniors, and Leibniz PhD Network. The slides are available on Slideshare.Workshop leadsDr. Macarena Beigier-Bompadre is a founding member of the AI Guild and a Data Scientist at modellagenten. Earlier she was a Postdoc at the Max Planck Institute for Infection Biology, Berlin.Dr. Dina Deifallah is a member of the AI Guild and a Data Scientist at HeyJobs that also enjoys working on issues of business intelligence and data analysis. She holds a PhD in Communications Engineering from the American University in Cairo.Dr. Chris Armbruster is a founding member of the AI Guild, Europe’s leading AI practitioner community. Earlier, he was the Director at Data Science Retreat. He helped roll out digital infrastructures for the 80 Max Planck Institutes, while also researching postdoc careers.Workshop structure13.00 Introduction to the online workshopThe objective is to empower workshop participants to pursue a career in the Data & AI professions. A customizable roadmap is offered for a successful transition.13.05 Examples of PhDs transitioning to a career in Data Analytics, Data Science, and Machine LearningTogether, we look at examples of a successful transition from science to data science, and start answering your questions.What are typical starting points for the transition? How large is the opportunity and what are the requirements for a #datacareer?How do you move to the industry, startups or a consultancy firm?What is the outlook for a #datalift in Europe? 13.25 The roadmap to getting hiredTogether, we query the four essential milestones of the career transition, namely a) exploration of the field; b) domain orientation; c) skills gap analysis and training; and d) career start.Roadmap for the transitionInteractive Q&A via online chat 13.45 The industry-ready CV or resuméLet’s look in detail at examples of industry-ready CVs for Data Analytics and Data ScienceExamples and stories Interactive Q&A via online chat and video14.15 Trends in employment, startups, and industryData on job growth, startup funding, and industry trends are presented. Moreover, data on starting and median salaries have also been collected by a variety of independent sources.Presentation of data and trendsFinal Q&A via online chat and video14.30 End of the online event