How To Build A Career in Data Science with Jacqueline Nolis and Emily Robinson

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSJacqueline Nolis is a Data Science consultant, who helps companies like T-Mobile, Expedia, with their data science problems.She’s got an undergrad in math. Masters in math. She got a doctorate in industrial engineering and then started working as a consultant. For the last ten years she’s been doing data science consulting for all sorts of companies and leading data science teams.Emily Robinson studied very related fields of statistics. And that's where she started programming in R, went on from there to get a Master's in organizational behavior and then did Metis, which is another data science bootcamp.Went on to Etsy DataCamp. And now she is a senior data scientist at Warby Parker. She got interested in data science because quantitative social sciences are a very good background to lead into data science.Episode Links:  Jacqueline Nolis' LinkedIn: https://www.linkedin.com/in/jnolis/ Emily Robinson’s LinkedIn: https://www.linkedin.com/in/robinsones/ Emily Robinson’s Twitter: @robinson_esJacqueline Nolis' Twitter: @skyetetraEmily Robinson’s Website: https://hookedondata.org/ Jacqueline Nolis' Website: https://jnolis.com/ Podcast Details: Podcast website: https://www.humainpodcast.com Apple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009 Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS RSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9 YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag YouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos Support and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators – Twitter:  https://twitter.com/dyakobovitch – Instagram: https://www.instagram.com/humainpodcast/ – LinkedIn: https://www.linkedin.com/in/davidyakobovitch/ – Facebook: https://www.facebook.com/HumainPodcast/ – HumAIn Website Articles: https://www.humainpodcast.com/blog/ Outline: Here’s the timestamps for the episode: (00:00) – Introduction(04:08) – There's just, clearly, some desire in the world that people are data scientists, or if you're a junior data scientist, a desire in the world to be one of these senior data scientists, giving talks at conferences and joining the community. And so we just noticed organically that this is happening more than us making some grand observation about the state of the world.  You bring up  the current moment also recognizing, how May I become even more valuable to employers? I may end up having to do a job search. What can I do to prepare so that I can be an attractive candidate to different companies? (06:23) – The book was put up into four parts, and the first part is, basically, what is data science? What does it look like at different companies? How do you find jobs? What does the interview process look like all the way up to negotiating an offer? So that's the first half. The second half of the book, and the third part is around settling into your job. Putting a machine learning model into production. And dealing with stakeholders. And then, finally, the last half is about when you start settling in it's about continuing to grow by joining the community, handling failure, which is pretty much inevitable when you're a data scientist going on to a new job. And then the final chapter is what are the things you can do even after you become a senior data scientist. So Management, independent consulting or being a principal data scientist. Finally, actually we have an interview appendix with over 30 interview questions, example answers.(08:51) – No one really knows what's happening. No one, or for the last two months, no one really knows what happened. No one knows what's going to happen for a while. That we're just in a really uncertain time. We don't know if your company is going to be around in six months, everything's more uncertain.(09:57) –A lot of companies are putting on hiring freezes in general, except for very critical roles. (12:18) – Each one of those stakeholders has a different goal, whether it's to make their engineering stronger, to make better decisions, to make their company go to a better place in the long term. And how you work with each one of these groups of people really will differ based on who they are and what their goals are. So we break down that a lot. (15:40) –  Some of the key communication strategies include messing up a lot until you remember how you messed up the last time, and then get a little bit better. And you do that for 10 or 20 years. And eventually you're okay. Being consistent. Creating a consistent framework for how you share things. You have to adapt your strategies.(18:01) – The idea of how ...