We were joined by Ian Anderson, Director of Hockey Analytics at the Philadelphia Flyers, to discuss the most important things going in data science leadership.
Here are a few of the thoughts shared live from Ian and the community:
You make time for things that are important to you. If exercise and health is important to you, you make time for it. If coding is something that you want to continue to maintain, you can find the time for that.
Think about blocking designated focus time to do your individual work
Be curious. Office hours as a manager to answer questions from your group can also be an opportunity to learn new things/packages/methods together
Organize opportunities for the team to share any topics that they would like (coding, techniques, etc.) In sharing topics, you can also try limiting the time to ~4min to share. Two benefits of this fast moving, high energy meeting: 1. People will inspire each other with passion and creativity 2. The team gets to practice communicating their ideas with precision.
Becoming more comfortable with what it means to lead people, it's about enabling them to be really successful. If you measure your success by other people's success, it can also help rationalize that. If you can chop down barriers for them, then they will be more successful so that means the technical time I sacrifice enables them further.
It's still very relevant to keep your skills at some type of level just for street cred in your team. Bringing in new people, if you can talk that language it just really helps your team and you can have those conversations."
An audience-led conversation held on Zoom focused on data science leadership that is open to all every Thursday at 12 ET. You can check out the recordings on this site as well! Learn more on the About DSH page here:https://www.rstudio.com/data-science-hangout/about
You don't have to register to join. You can add the event to your own calendar here:https://www.addevent.com/event/Qv9211919
There are three ways to ask questions during a live session:
All of the recordings from past sessions are shared here:https://www.rstudio.com/data-science-hangout/live-calls
That's up to you. The host, Rachael usually opens up the discussion by asking the featured leader what they are most excited about in data science currently, and then we turn the questions over to the audience. Here are a few examples of questions that have come up before:
What is the divide between a business analyst and a data scientist?
What is the most unique problem you've had to solve in your industry?
My leaders refer to our BI tools when asked about data science, do you consider BI data science? Why/why not?
Did you always have managing skills/people skills, or did you have to learn them?
Could you define levels of data science maturity for companies?