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Employees41
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FulltimeYes
TelecommuteNo
IndustryE-commerce, Advertising
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Engineering

Scientific Engineer

at Struq in UK   —   Mar 29, 2014   |  
Sam Barnett (CEO)Steve Pereira (Head of Operations)Aaron McKee (VP of Engineering)Jos Barnett (HR Director)Andrew Morsy (Sales Director)
Overview
Struq is an award-winning advertising technology company that is transforming advertising from a generic push to a relevant, meaningful personalized communication. We enable advertisers to deliver relevant, personalized video, display and mobile ads to their consumers. At the heart of Struq is technology, real-time decisions and ad personalization. Our typical advertising campaigns are in the high value online segments such as e-commerce, apparel and travel and we have over 150 clients (and counting!) including NIke, Adidas, Hilton, Topshop, and Play.com.

Our diverse and passionate team has undergone exceptional growth since the company started in 2008 and we are looking for more capable, enthusiastic and ambitious people to work with us on our journey towards becoming global leaders in ad personalization across every media platform.

The candidate we are looking for is a scientific engineer with a passion for analysing vast amounts of data, finding hidden patterns and relationships and implementing scalable machine learning and statistical algorithms to improve upon our value-to-user and value-to-client.

Unfortunately we are only able to accept applications from candidates able to work in the UK.
Responsibilities
Apply probabilistic, machine learning and data mining techniques to build models to improve targeting and revenue.
Work closely with colleagues on the engineering team to put your research results into action.
Dive deeply into the data to understand and apply patterns while maintaining a sense of the big picture
Understand business strategy and translate theoretical and experimental results into usable, scalable applications.
Experience
Required:
Ability to independently design/develop and test large and complex applications.
Degree in computer science, statistics, mathematics, data mining, machine learning, artificial intelligence or equivalent.
Superior understanding of algorithms and data structures relevant to machine learning at large scale.
Expertise and hands on experience in using machine learning/data mining techniques – decision trees, SVMs, neural networks, ensemble methods, clustering, matrix factorization for recommendation systems, etc. – on large data sets
Desired:
Broad and current knowledge in machine learning/statistics (beyond logistic regression)
Hands-on programming experience with languages such as C/C++, C#, Java or Python
Experienced software/research/data engineer with expert-level database and distributed systems skills (SQL, data modelling, Hadoop, MapReduce)
Large dataset experience, preferably working with complex enterprise/web logs datasets
Practical knowledge of Internet Marketing and Advertising optimization systems is a big plus.
Experience with large-scale data mining, machine learning, optimisation algorithms or predictive modelling in industry/production.
Past experience in one of the following areas – Information Retrieval, Data Mining, Text Analysis or Machine Learning.
Skills
To join a growing team of dedicated and successful professionals you will need to be highly motivated and hard-working.
You will be comfortable with aggressive schedules, and a natural problem solver.
Good communication skills and client focus are shared characteristics of all the Struq team.
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