Designing performance algorithms for real engineering problems. Be competent in statistical integration and data mining. Derivatives exposure a huge plus.

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.

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.

The Ideal Candidate
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.

Required skills:
• 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 skills:
• 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.