Data Scientist

Using automated tools to extract data from primary and secondary sources

Removing corrupted data and fixing coding errors and related problems

Developing and maintaining databases, data systems reorganizing data in a readable format

Performing analysis to assess quality and meaning of data

Filter Data by reviewing reports and performance indicators to identify and correct code problems

Perform advanced statistical analysis to provide actionable insights, identify trends and measure performance.

Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.

Analyzing local, national, and global trends that impact both the organization and the industry

Preparing reports for the management stating trends, patterns, and predictions using relevant data

Working with stakeholders to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Develop powerful analytical models to tackle complex business problems and drive innovation.

Implement data solutions, through essential visualization tools.

Provide thought leadership by researching best practices, conducting experiments, and collaborating with business leaders.

Design, develop, improve, and maintain data structure and business objectives.

Solve complex data problems to provide insights that help achieve goals.

Provide advice, consultations, mentors, data coaches, and other analytical professionals on data standards and best practices

Requirements

MSc/PhD. in Computer Science, Statistics, Data Science, or a related technical discipline such as Mathematics.

Expert in working with big data sets, simulation/optimization, and distributed computing tools (Hadoop, Reduce, Map...etc.).

Has More than five years of experience in statistics or a data science role with concrete knowledge of machine learning (ML), statistics, and optimization.

Broad experience with a wide range of tools including TensorFlow/FlinkML/H2O/SparkML etc.

Experience at working with basic visualization tools such as Qlik/ Tableau etc.