Hybrid work, in the authors’ experience, only works when all employees are treated as remote employees. To do this, companies need to do five things: embrace asynchronous communication, make communication boundaries clear, champion documentation and the production of artifacts, share information widely, and provide the right tools for employees to succeed
The increasing demand for artificial Intelligence (AI) and data science experts, driven in part by the COVID-19 economic crisis, is showing no sign of abating. Many employers are failing to identify viable job candidates, much less interviewing or hiring them. What’s the biggest obstacle holding them back? In our experience, it is often a poor job posting.
It’s 2020 and the world has changed remarkably, including in how companies screen data science candidates. While many things have changed, there is one change that stands out above the rest. At The Data Incubator, we run a data science fellowship and are responsible for hundreds of data science hires each year.
Historical data can be an authoritative source of intel for a company looking to make smarter and faster decisions. When efficiencies are possible, it’s best to use the tools available to achieve them.
One of the more commonly used screening devices for data science is the portfolio project. Applicants apply with a project that they have showcasing a
This post was written collectively by myself, Michael J. Wildes, & Adam W. Moses. The full, original post for this piece can be found at
We all want to be future-proof: not just prepared for unforeseen developments but positioned well to take advantage of them. Having a flexible, adaptable, and
An article written by Data Incubator founder Michael Li was featured on Harvard Business Review today. It can be found where it was originally posted here.
Yesterday, The Enterprisers Project covered Michael’s Harvard Business Review article “Retaining Your Data Scientists.” Take a look at their coverage below and at its original
© Copyright 2021, The Data Incubator
