Data Science

Daniel Danilov

Hack Project: Creating a tool to translate customer feedback into product insights

Explore Automattic’s hack project in our latest post, where we developed a tool for analyzing Tumblr user feedback. Learn about our challenges with AI, creating insightful dashboards, and the impactful outcomes. Our collaborative effort not only enhanced product development but also earned us the top spot in our Hack Week Awards!
jie

Hack Project: Tackling FOMO on the P2 Land

Automattic, a fully distributed company, utilizes a unique internal blogging network known as P2 for team communication. Due to the vast volume of posts and comments, employees often struggle with the fear of missing out (FOMO) on important content. To address this, a team of data and machine learning experts initiated a hack project that…
romanurbanovski

Women of Datamattic: Anna Elek

Welcome to Women of Datamattic—conversations with some of the remarkable women working all over the world to build, maintain, and explore Automattic’s data landscape and make the web a better place. Today’s interviewee is our Head of Data, Anna Elek.
Javier Tiniaco Leyba

How to profit from an Analytics Skill Matrix

These job postings usually arise due to a problem of inaccurate needs assessments, resulting in a delayed and complex hiring process Javier Andrés Tiniaco Leyba – Tumblr Data Science Analytics Team Lead at Automattic The Analytics Skill Matrix is a tool we use in Data teams throughout Automattic. It developed from our interest in creating…
Raúl Antón Cuadrado

Challenge Hiring Assumptions with Data

We use experiments to model reality (sometimes to create alternative realities as in A/B experiments), to understand reality, and ultimately, to make decisions moving us ever closer to our goals. Improving iteratively, we learn not only from successful experiments but also from failed attempts. Experiments are important because they provide us with measurements. And measurements…