

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...
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!
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.
Can you talk through some examples of data- centric products?
What's the necessary skills to start career as junior data analyst
I am interested in every specialty but get bored easily, what is the right field for me?
What are the hard skills for data analytics type roles, and what are some highly sought after soft skills for individuals looking to transition to the field?
as an amateur data scientist, how do you get the credentials to apply for a job?
What are some of the data science adjacent positions/titles that a recent data science graduate can apply to?
What are the potential job prospects for someone transitioning from entirely different field and looking to retire within 10years?
What are the best online sources/programs to learn about data science and broaden skills?
What are the requirements to be a data scientist? Is a ms in statistics sufficient?
I'm a long-time software engineer trying to shift my career toward machine learning and/or data engineering. I've done some online courses, (Intro to Data Science, Intro to ML - classes with lots...
Should days scientists be able to work with engineering and product equally, or is it beneficial for the business to focus on one role?
How to start a career in data science after completing courses online.
What are best data Science positions when you know ML and stats without experiencia un real world's problems bit a bunch of years as a funcional analyst?
What kind of software does one need to know
Masters of data science programs - should we do it ?
How much of a coding and statistics background, do I need?
How to determine if data science is right for you if you have completely unrelated undergrad and work experience?
Are MS in data science or data science boot camps worth it?
What type of background/experience do you need to be a successful data scientist?
What is the traditional career path of a data scientist?
What skills do you find the most important on a day-to-day basis?
How does data science dovetail with the courses offered by Power to Fly?
Is there a specific question you have for the speaker? Let us know!