Data Science

Head of Data Science

London, United Kingdom   |   Full time

Echobox has access to very large granular private data sets and is currently only using a small part of this in end user products. You will work closely with our CTO the help push the boundaries of what the Echobox Artificial Intelligence is capable of, including the development of new product ideas and prototypes. As the Head of Data science, you will be responsible for the leadership of the data science team and have the autonomy to develop novel ideas within this space.

Key Responsibilities

  • Work with our CTO to help push the boundaries of what the Echobox Artificial Intelligence is capable of.
  • Coordinate and guide the other members of the Data Science team.
  • Lead the development of prototypes that can be turned into end user products by the core development team.
  • Stay up to date with the latest advances in ML and AI.
  • Liaise with our ML advisor at the University of Cambridge.

About Echobox

We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel machine learning techniques, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more.

Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. To get a better insight into the kind of work we do, check out our open-source project on Github, our data showcases and our YouTube content on Microservices.

Do you think you have what it takes to be part of Echobox? We'd love to hear from you.


Academic Qualifications

  • PhD from a top tier university such as Cambridge, Oxford, MIT, Harvard or equivalent containing machine learning/artificial intelligence methodologies.
  • Fluent written and spoken English.

Required Skills and Experience

  • A strong knowledge of NLP, including recent research advancements.
  • A broad knowledge of different ML and AI methodologies.
  • 2-3 years software development experience in an OO language (e.g. Java, C#, Python), either professionally or in academia.
  • A strong familiarity with Java (SE7+).
  • Experience of leading a small team.
  • Working knowledge of big data architectures, i.e. NoSQL, Hadoop etc
  • Genuine passion for making the impossible possible.

Preferred Skills

  • Additional international spoken languages with a view to having statistical discussions with customers.
  • Experience with functional languages, e.g. Scala

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