Job Description

Responsibilities  Selecting features, building and optimizing classifiers using machine learning techniques  Data mining using state-of-the-art methods  Extending company’s data with third party sources of information when needed  Enhancing data collection procedures to include information that is relevant for building analytic systems  Processing, cleansing, and verifying the integrity of data used for analysis  Doing ad-hoc analysis and presenting results in a clear manner  Creating automated anomaly detection systems and constant tracking of its performance Skills Required  Around 10 years of total work experience into data management and data mining.  Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.  Experience with common data science toolkits, such as R, Weka, NumPy, MatLab etc  Experience with data visualisation tools, such as D3.js, GGplot, etc.  Proficiency in using query languages such as SQL, Hive, Pig  Experience with NoSQL databases, such as MongoDB, Cassandra, HBase  Good applied statistics skills, such as distributions, statistical testing, regression, etc.  Good scripting and programming skills like Python, PERL, Ruby etc