About this episode
Emily Robinson, co-author of the book Build a Career in Data Science , gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate. Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position. Join the discussion Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Sponsors: Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog . AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com . Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog . Featuring: Emily Robinson – GitHub , X Chris Benson – Website , GitHub , LinkedIn , X Daniel Whitenack – Website , GitHub , X Show Notes: Comment on the episode page for a chance to win a FREE copy of the eBook! Tell us why you are interested in Data Science and how this book might help you achieve your goals. Our 3 favorite comments will be selected on April 13th! R Conference | New York City Books “Build a Career in Data Science” by Emily Robinson and Jacqueline Nolis Be sure to use discount code: podpracticalAI19 “Cracking the Coding Interview” by Gayle Laakmann McDowell “Designing Your New Work Life” by Bill Burnett and Dave Evans “Designing Your Life” by Bill Burnett and Dave Evans Something missing or broken? PRs welcome!