All posts filed under “data mining”

January 24, 2016

Excited to be joining Intercom as Product Analytics Manager

After 2.5 years in Yahoo Labs, I’ve decided to leave the world of industrial research labs and  join an exciting, mature Irish startup called Intercom as Senior Product Analytics Manager. While I have thoroughly enjoyed my experience and journey in Yahoo and have learned a great deal from my colleagues there, it’s time for a new challenge and the next chapter.

At Intercom my task is to help build up and lead a product analytics team who will work closely with product, design and research teams to generate insights and metrics that will inform the design, development and measurement of Intercom products. The role starts here in San Francisco but is based in Dublin so in a few months time my family and I will be moving back home to Ireland after almost 8 long years away!

Overall I’m super excited about this next venture. In particular the opportunity to work at such an exciting company who cares deeply about user experience, the challenge of leading a product analytics team and shaping a culture around data, the potential to have such a positive impact on Intercom’s products and of course the opportunity to return home to Ireland.

Intercom’s mission is to Make Internet Business Personal. And they are achieving this through an integrated platform of products that enable businesses to acquire, engage, learn from and support their customers.

We’re hiring!!! So if you’re interested in data science, quantitative research and analytics with a passion and interest in product, then please get in touch! Here’s to a very exciting 2016 🙂

February 16, 2015

New Focus, New Role – Leading Native & Mobile Ad Analytics Group

As of this quarter in Yahoo Labs, I’m leading a small team of Research Scientists in a new group focused on Native & Mobile Ad Analytics. Native Advertising has become a hot topic in the Web and advertising spaces in recent years. Given it involves creating and placing engaging, relevant content that matches the underlying intent and context of the end-user, there are lots and lots of open research questions in this space. In particular when we think about native advertising in the mobile world!

The ultimate goal of this new group is to conduct research that will enrich our understanding of native and mobile ad experiences and will improve these experiences. We’ll be focusing on large-scale mobile user behavior modeling; understanding and mining mobile-specific signals like mobile device and app use to help enhance mobile ad engagement and conversion; as well as methods and novel studies exploring offline conversion in mobile, i.e. if I show a person an engaging, relevant ad on their device, do they ever act upon that ad in the physical world, e.g. visiting a store, eating at a restaurant, etc. To this end we’ll be analyzing very, very large datasets across a range of Yahoo properties as well as conducting large-scale in-the-wild mobile experiments / studies. Some of the open research questions / challenges in this domain include: Read More