Takeaways from the Domino Data Science Pop-up: Defining a data scientist
Three weeks ago, I had the pleasure of attending the Domino Data Science Pop-up, which was one of the best days of talks on data science that I have attended. You can check out recordings of the talks as well as copies of the presentations on SlideShare. I won’t dive into all the nitty-gritty discussions on math and […]
Technology Redefined Sales, Marketing, and HR: How to Hire for these Roles Now
I remember a time when we used to say “he’s a good sales person” or “she’s a great marketing leader.” However, it’s no longer so simple. Technological advances over the past decade have transformed sales, marketing, and HR organizations. Entirely new titles and functions have sprung up in the process. Founders need to understand what […]
Understand learning profiles before hiring
The average 25-year-old has already worked 6.3 jobs, and will have 12-15 jobs before their working career is finished. The portrait of the job-hopping millennial is a stark difference to Gen X and Boomer workers who may have stayed with the same job and employer for decades. Another study found that millennials have almost twice as […]
What does “great” look like?
One of the biggest challenges for first-time founders with little work experience is that they don’t always know what “great” looks like in every area required to build and run a successful business. Understanding “great” is one of the single most important levers to push your team to greatness, hire the best people possible for […]
The art of hiring a data scientist
Nearly four years ago, I joined the Insight Data Science team and we launched an intensive 7 week post-doctoral training fellowship bridging the gap between academia and data science. Since then, over 400 Insight alumni have been hired as data scientists or data engineers at top tier companies like Facebook, LinkedIn, Twitter, Airbnb, and Google. Although I formally […]