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Navigating the Tricky Process of Becoming A Data Scientist

Presented by

Dr. Natalie Morse (Data Scientist @ BMW)

About this talk

Tentative Schedule: (EST) 2:00pm: Dataiku x Bots & AI Intro 2:05pm: Navigating the Tricky Process of Becoming A Data Scientist w/ BMW 2:45pm: Q&A Talk Abstract: So you want to be a data scientist? Seems like everyone is typing that into Indeed. What does it actually mean to land your first role? How do you transition to data science from a different field? What does it take to be successful once you’re hired? I’m not going to bore you with the tech stack requirements (although we’ll touch on this), but I’ll mainly focus on what I’ve learned though my own experience breaking into the field, and now as a hiring manager for data science interns. Speaker Bio: Dr. Natalie Morse is a data scientist at BMW in South Carolina, USA. She works within their innovation and research group to develop technology for the BMW Group. In addition to this role, she works as a graduate coach helping others navigate the tricky grad school world. Her goals are to bring more diverse voices to academia and tech. Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.
Dataiku

Dataiku

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Everyday AI, Extraordinary People
Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.
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