A "data scientist" role can mean a lot of different things, and it's important to make sure your own expectations around the job are aligned with what the role is actually looking for. How do you figure out where on the spectrum of "data science" the role actually is, and how do you think about your own skills and career aspirations in the data world? Join us for this live, virtual Q&A to find out!
Head of Data Science and Analytics at Nextdoor
Hi! I'm Carly, and I'm the Head of Data Science and Analytics at Nextdoor, the private social network for neighborhoods. My career through data has been somewhat nonlinear - I started with a degree in geology, worked for a while in catastrophe risk modeling, and then went back to school and made the jump to data science. I love using data to make smart decisions, and empowering teams to build great data-centric products. My philosophy on data science is that it's a two part job - you have to be technically strong while also having the skills to communicate effectively about the range and impact of your work.
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