Published inTDS ArchiveThe Data Scientist’s Guide to Choosing Data VendorsA practical guide to effectively evaluating and deciding on data to enrich and improve your modelsJun 28, 2024Jun 28, 2024
Published inTDS ArchiveMastering AI Department Reorganizations: Lessons from the TrenchesDo’s and Dont’s after five years of Data Science department reorgsJun 12, 20244Jun 12, 20244
Published inManagement MattersThe best management advice I ever receivedA paradigm shift on how to treat your employeesJun 8, 20215Jun 8, 20215
Published inRiskified TechThe 5 Characteristics of a Great Data ScientistExceptional data scientists share several key features, which are often overlooked. Focus on improving these things to become truly great.May 3, 20211May 3, 20211
Published inTDS ArchiveAvoiding the 4 Major Pitfalls of Data Science ProjectsWorking on a data science project, especially with a new stakeholder, can be challenging. Learn how to avoid the main pitfalls.Mar 21, 20211Mar 21, 20211
Published inTDS Archive7 Must-Haves in your Data Science CVLooking for a new role? Be sure to check these critical points to stand out of the crowd and pass the CV screen.Nov 1, 202019Nov 1, 202019
Published inRiskified Tech3 Ways to Break Into Data ScienceStarting your journey into Data Science? Choose the right path to increase your odds.Sep 3, 20209Sep 3, 20209
Published inRiskified TechHow our Data Science Department chooses what to researchPrioritizing Data Science projects can be challenging — here’s some do’s and don’ts of how we choose research directions at RiskifiedJul 13, 20201Jul 13, 20201
Published inRiskified TechData vs. Insight — the thin line between good and bad reportsLearn about one of the biggest sins a data practitioner can commit when analyzing data and 3 ways to avoid it at all costs!May 11, 20202May 11, 20202
