- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

- 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.

- Develop company A/B testing framework and test model quality.

- Coordinate with different functional teams to implement models and monitor outcomes.

- Develop processes and tools to monitor and analyze model performance and impact to business.

Mandatory belongings that you must prepare :

- Min. 8years of experience in data analysis and modeling

- A Bachelor in Computer Science, Statistics, Mathematics, or another quantitative field.

- Strong problem solving skills with an emphasis on product development.

- Proficient in programming skills (R, Python, SQL, etc.) for data acquisition, processing and analysis from large data sets.

- Knowledge of data science concepts (regression, classification, clustering, properties of distributions,

statistical tests and proper usage, etc.) and experience with applications.

- Knowledge of a variety of machine learning techniques (Random forest, SVM, artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Excellent written and verbal communication skills for coordinating across teams.

- A drive to learn and master new technologies and techniques.