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.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Requirements:
Having 2-3 years of experience manipulating data sets and building statistical models.
Having experience using Python for at least 2 years.
Education background: Bachelor's degree, preferably with a Master's degree in Statistics, Mathematics, or another quantitative field.