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The definition of data science is constantly in flux - as are the skills, structures, and responsibilities required to actually be a data scientist. During this fireside chat, Michelangelo D'Agostino sits down with Dataiku to explain the most valuable skills for data scientists (and their managers), as well as the organizational and leadership considerations shaping the role. From new tooling to avoiding FOMO through continuing education, we'll not only explore what is useful for the role - but also how to stay engaged, entertained, and constantly learning.
Director of AI Consulting for the Americas,
Conor Jensen is an experienced Data Science executive with over 15 years working in the analytics space. He is the Director of AI Consulting for the Americas at Dataiku, helping customers with their biggest and most ambition AI and Data Science projects. Previously he worked in Customer Success after taking his lumps building out data science teams and platforms at multiple large enterprises. In prior lives, Conor was a Weather Forecaster in the Air Force, a Starbucks Store Manager, an Emergency Management Technician in the Air National Guard, and taught archery and rock climbing. He also earned a Bachelor’s in Mathematics from UIC.
Vice President of Data Science & Engineering ,
Michelangelo D’Agostino is VP of data science and engineering at ShopRunner, where he leads a team that develops statistical models and writes software that leverages their unique cross-retailer ecommerce dataset. Previously, Michelangelo led the data science R&D team at Civis Analytics, a Chicago-based data science software and consulting company that spun out of the 2012 Obama reelection campaign, and was a senior analyst in digital analytics with the 2012 Obama reelection campaign, where he helped to optimize the campaign’s email fundraising juggernaut and analyzed social media data. Michelangelo has been a mentor with the Data Science for Social Good Fellowship. He holds a PhD in particle astrophysics from UC Berkeley and got his start in analytics sifting through neutrino data from the IceCube experiment. Accordingly, he spent two glorious months at the South Pole, where he slept in a tent salvaged from the Korean War and enjoyed the twice-weekly shower rationing. He’s also written about science and technology for the _Economist_
Dataiku is the centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. With Dataiku, businesses are uniquely empowered to move along their data journey from data preparation to analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies. More info on: www.dataiku.com
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We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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