Manila City, Metro Manila – 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 Supervising, Mentoring & Developing team members Drives education and evangelization of data sciences throughout the business by communicating the vision and uses cases of advanced analytics Experience and Qualifications M.Sc. or Ph.D. in computer science, engineering, statistics, applied mathematics, computational linguistics, or other quantitative field Excellent understanding of machine learning techniques and algorithms, such as k-NN, Ne…
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