Data Science Design Specialist

Job Description

Mission: • To deliver keen and smart solutions via moving dynamics of the system • To efficiently solving complicated business problems Task Complexity: • To build high-performance algorithms, prototypes, predictive models and proof of concepts • To refine and tune data models to be able to respond to various homogenous data structures • To deploy proper experiments on data in order to ensure about the applied data to be thoroughly clean, reliable and not corrupted • To measure effectiveness of the designed data collection methods in order to find the most effective way • To exploit multiple new/existing algorithms for processing raw data to generate real business value • To analyze and also validate interpretation of data which has been led into information insight • To prepare reports of predictions and findings for management through effective data visualizations and reports • To propose and design Data-efficient models that are smartly developed in accordance with the quality of existing data. • To process huge volumes of data collected from multiple internal and external sources • To employ sophisticated analytics programs, machine learning and statistical methods to do both predictive and prescriptive modeling • To search and propose various ways in order to compensate for unavailable required data by doing scientific experiments • To liaise with various Marketing teams in order to collect data and induct them of Data Science concepts in order to address business requirements