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ALLSTAT  November 2014

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Subject:

JOB - Statistical Modeller, Plymouth, UK

From:

ICSE <[log in to unmask]>

Reply-To:

ICSE <[log in to unmask]>

Date:

Tue, 18 Nov 2014 14:04:25 +0000

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Job reminder as this closes on the 21st November 2014. 
 
 
Job 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 [log in to unmask]  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. 
________________________________ 
[http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> 
 
This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. 
 
You may leave the list at any time by sending the command 
 
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