Managing Data Scientists

On Real Data Science and the Future of the Business Analyst

What is “real data science” anyway? tl;dr: most data scientists at Facebook are business analysts and that’s perfectly fine One...

Data Science and Product Management are like Chocolate and Peanut Butter

“Hey, you got chocolate in my peanut butter!” “You got peanut butter in my chocolate!” “Delicious!” So goes the old...

Recognizing the Limits of Visualization

Visualization (viz) is an incredibly hot topic in the business analytics/data science (DS) world right now. In every job description,...

Choosing Your Data Science Architecture

We data people love our architecture. We obsess over it. Every time Apache announces a new top-level project, we fawn...

Structuring Your Data Science Workflow

Now What? Congratulations,  you’ve successfully recruited and hired a few data scientists, positioned them in the right place in your...

Academic Profiles for Data Science

If you’re interested in Data Science (DS) as a field and have read enough job postings, you start to pick...

Placing Data Scientists Within Your Organization

There are a number of different ways in which Data Science (DS) teams can be structured, but if your organization...

The Different Types of Data Scientists

Previously, we established that the definition of the term Data Science requires you to understand the difference between the key...

What is Data Science Anyway?

One of the biggest enduring problems with the way that Data Science (DS) is managed within institutions of all sizes...

Building Effective Data Science Teams

After sorting through the buzzwords and defining the technical skills that you actually want in a strong candidate, you extend some...