Duedil is looking for a machine learning specialist with practical industry experience working within areas of data mining and machine learning; specifically, classification, information retrieval, semantic analysis & text mining, and related areas.
This position will involve taking these skills and applying them to some of the most exciting large scale data and prediction problems that exist on the web.
You will develop tools leveraging machine learning, data regression, and rules based models, suggest, collect and synthesize requirements and create effective feature roadmap and code deliverables in tandem with the engineering team.
Skills and Requirements
B.S. Computer Science, M.S. or Ph.D.
A minimum of 5 or more years experience in one or more of the following areas: Machine learning, large-scale data mining for analytics.
Proven ability to translate insights into business recommendations.
Expert knowledge developing and debugging in on *nix
Expert knowledge with languages such as Perl, Python, PHP, Java, C++, shell scripts or others
Experience with filesystems, server architectures, and distributed systems
Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable a plus
This is a full-time position based in our main office in Soho, London. You'll enjoy a competitive salary, your own MacBook to work from, an options package, the ability to work from home, and not to mention lunch on the boss everyday.
A bit about us
Duedil is an award winning startup with massive goals. We're creating something great and the future couldn't look better. We're creating a platform granting users access to over 30 billion data points relating to business financials, histories, stocks & shares, as well as letting you know who’s who.
We're backed by some of the best VCs in Europe and this year won the GeeknRolla tech startup competition, run by TechCrunch. We've been featured in Wired magazine, The Telegraph, TechCrunch, The FT, The New York Times, The Guardian, GigaOM, BBC, and more.
This is an amazing opportunity to help shape the future of a disruptive startup, and you'll be joining what we quietly believe to be some of the best talent in their fields.
We're processing mammoth data sets using the latest technologies and APIs, we're developing ideas and code rapidly and your input will be reflected instantly.
We have two awesome offices, one in the heart of Soho and another in White Bear Yard- a startup incubator off Clerkenwell Road. http://whitebearyard.com/