EXPERIENCE

• 5+ years’ experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis

Experience

• using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, MATLAB, SPSS IBM, Tableau, QlikView, Rapid Miner, Apache , Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages, Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark,...), Knowledge of industry and ability to translate business needs into data
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EDUCATION

• MS in computer science, statistics, or operations research or related technical discipline

OTHER REQUIREMENTS (FOR RECRUITMENT)

ROLE & RESPONSIBILITY

• To solving business problems with data driven, Source, access, manipulate and engineer data processes with data that build credible statistical models from the data and use best coding practices to generate reproducible work, Explore and visualize the data to present the ‘story’ of the data in a meaningful way, and to a range of technical and non-technical audiences, Crucial in designing, building and implementing analytical solutions, acting as a Data Science & Advanced Analytics expert