Curso de Introdución á xenética cuantitativa
11 November 2014Postdoctoral positions at the School of Mathematics at the University of Edinburgh
12 November 2014Curso de Introdución á xenética cuantitativa
11 November 2014Postdoctoral positions at the School of Mathematics at the University of Edinburgh
12 November 2014Job title: Statistical Modeller
About IO Intelligent Optimisations (http://dsp.io/) IO is a machine learning Demand Side Platform (DSP) which uses programmatic media to deliver performance, brand awareness and insights to digital advertisers. Now is an exciting time to be joining the team at IO. We are applying big data analytics to real time bidding software technologies within the field of digital advertising. We can certainly offer an exciting ride in a challenging and dynamic work environment, where you have the opportunity to make a real difference and truly excel.
We are currently expanding and looking to complement our existing team of software engineers, scientists and data analysts with a statistical modeller.
Requirements:
Qualifications
PhD in Mathematical Sciences
Knowledge
Solid grounding in statistical and predictive modelling with at least a basic understanding of generalised linear models Deep understanding of Bayesian machine learning and networks, Markov chain Monte Carlo methods and variational inference Skills Familiarity with Big Data tools and techniques; expertise in modern scientific programming in Python with Numpy (and/or potentially Scala) and knowledge of Machine Learning libraries such as Scikit, Mahout and PyMC would be desirable; experience with a statistical language such as R is also essential Understanding of software project management is also desirable Commercial awareness Personal Qualities Good interpersonal skills: ability to communicate complex concepts Team player who has the ability to lead, and work as a fully contributing member of a team Possess excellent innovative problem solving skills Confidence, enthusiasm and with the energy to make a significant contribution in an organisation This position is based out of the IO Intelligent Optimisations main office in central Plymouth, next to the sea. Salary will be dependent on skills and experience. If you are interested in applying for this position, please send a copy of your CV to careers@dsp.io by 21st November 2014.
This work would be in collaboration with the University of Plymouth and the successful candidate would be required to liaise with researchers in the School of Computing and Mathematics on a regular basis. For an informal discussion about the position, please contact IO Intelligent Optimisations on 01752 60 30 30.