Data Scientist

ESSENTIAL FUNCTIONS:

The Data Scientist must have strong experience using various data mining/data analysis methods, using different data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be able to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Some of the essential functions are as follows: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative Training and Development - train junior business analyst. Share best practices and develop career progression for fellow Analyst. SECONDARY FUNCTIONS: Provide business information, analysis together with supporting data. Facilitate and help teams to create process maps, evaluate process as is state and Identify opportunities to increase the efficiency, effectiveness and business impact of assigned areas. Participate & facilitate teams to redesign assigned business processes including new process maps, procedures, develop and deliver associated training modules, communicate process changes. Lead automation of data flows & analysis. Share identified best practices across all relevant functions Communicate effectively with influence, and gain support from all levels of the organization on large scale business process changes. Participate on process audits and help institute process metrics to assess current process health of complex business processes.  

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