Intent Media is upending the e-commerce business model by using electronic market design and machine learning to enable the world’s leading online travel companies to publish competitive ads to users in the comparison-shopping portion of their purchase path. To create this opportunity, we manage a complex large-scale two-sided market mediated by a multi-item auction.

What You Will Do:

As a key member of our Data Science team, you will use your quantitative expertise to identify new areas of research and optimization, and then see those ideas through to production. Data Science is a fundamental contributor to Intent Media’s success - your work will have a direct and tangible impact on the business.

There are no typical projects, but a workflow might involve performing research and analysis against petabytes of historical data using our collection of large-scale analytics tools like Spark, Presto, and Vertica, building prototypes using the scientific Python stack or another functional language, pairing with members of our engineering team to harden and deploy the functionality, and running live tests to monitor the results.

All of these steps take place in an environment of respect and collaboration, and the Data Science team is empowered to own its agile processes. Every member of the team is expected to be both a student and teacher, and we believe that the most effective Data Science team is one that is collectively learning and growing. Experience in coaching and mentoring colleagues at all levels is strongly desired.

About You:

  • PhD preferred in a quantitative discipline such as Operations Research, Statistics, Applied Math, Computer Science, or related
  • Significant industry experience in some or all of:
    • Econometric / time-series models
    • Regression
    • Optimization mathematics 
    • Auction theory 
  • Experience coaching and mentoring team members
  • Some experience writing production software
    • in a language like Java, Ruby, Clojure, Scala, Python, or C++
    • in an agile, collaborative environment

Bonus Points:

  • Experience with Hadoop or Spark
  • Experience with AWS or other cloud service providers
  • Experience in machine learning techniques
  • Experience in a Linux or other Unix-like environment
About Us:
Intent Media uses predictive analytics to help travel brands maximize revenue per visitor. Sophisticated machine learning capabilities — trained and fine tuned for years —  enable us to serve ads and conversion-boosting user experiences based on a unique understanding of where a given user is in the shopping journey.
We operate in more than 40 countries with hundreds of airline, hotel, car rental, online travel agency and meta-search partners around the globe, including nine of the top 10 OTAs and meta-search sites in North America.  We’re over 120 people strong, with offices in NYC (HQ), London and Munich.  
Every day, we’re inspired by two pursuits. First, we’re building novel products that are upending ecommerce. Second, we’re building the company we’ve always wanted to work for — one that’s open, human and collaborative, where very smart people come together to share ideas and get things done. We’ve been included on the Crain’s Best Places to Work in NYC list for five years running.
Love Your Job!
Our vibrant team accomplishes a lot every day, and our management insists upon work/life balance so that we never become stale. We infuse fun and learning time into our days and our vacation policy includes a minimum, but no maximum. Our employees enjoy coming to work, and we let them know they're valued.
We don’t take ourselves too seriously, but we take our work very seriously.  We believe that in order for our employees to produce at their top level, they need to have intimate access to strategic decisions. Our flat structure and open communication allow for innovation from all levels – ideas flow freely.
We offer competitive compensation and great benefits; stock options; $2K learning budget; and company-wide social events.
So what are you waiting for? Apply with your resume in just a few clicks! You can learn more about us at:
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Confirmed 13 days ago. Posted 30+ days ago.

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