NEWSLETTER
Whether you're applying for your first internship to lead a multidisciplinary team of analysts and engineers, careers in data science come with their own specific set of challenges. Some of these may be more interesting than others, and others may be downright tedious (that's true of any job, of course), but we believe in framing all of these potential drawbacks as opportunities to deepen your knowledge, expand your skill set, and consider new points of view.
Our programming this week brings together a wide range of perspectives and experiences focused on common obstacles in data careers and proposes effective approaches to overcome them. Regardless of where you are in your own data science journey, we hope you explore our recommended readings and find ideas to incorporate into your own work.
- The Data ROI Pyramid: A Method to Measure and Maximize Your Data Team
While Barr MosesAimed at data executives and leaders, The Actionable Roadmap is an essential resource for data professionals at all levels of the corporate hierarchy. After all, everyone can benefit from understanding how their work contributes to the business and how to demonstrate its impact to a broader, non-technical audience. - Rebuilding the portfolio that got me a data scientist job
A year ago, Matt Chapman wrote the definitive practical guide to building a data science portfolio (and was very viral in the process). In his latest post, Matt reviews his approach and proposes several key updates for an even more streamlined workflow and a more customizable end product.
- 5 Habits Spotify Senior Data Scientists Use to Increase Their Productivity
After all the effort that goes into landing a good data job, the real work begins: what can you do to excel in your new role without risking burnout and/or imposter syndrome? Khouloud El Alami It presents five concrete ideas that you can adapt to your needs, and it doesn't skimp on essential details either. - 7 lessons from an ML internship at Intel
After a long career as a data scientist in the banking sector, Conor O'SullivanHis most recent career turn led him to a machine learning internship at tech giant Intel; Don't miss his review of his experiences there and the lessons he learned while exploring a new industry and organizational culture.
