Identifying potential growth opportunities through data exploration & analysis
Collaboratively work with stakeholders to define problems and to provide actionable insight based on data-driven approaches
Promoting self-service data-driven culture within the organization
Developing scalable data products (predictive model, analytics dashboard, etc.) that drive business/product growth
Designing controlled experiments to determine the incremental effect of business & product initiatives
Being a lead and Data Science decision-maker for junior and middle Data Scientists in a project
Requirements:
Bachelor's degree in Informatics Engineering, Information System, Statistic, MIPA or any related major
At least 3 years of experience in Data Science or Analytics
Experienced in translating business to data science problems, and performing online experiments to validate the hypothesis
Implemented analytical or Machine Learning models to production, which are run on a periodic basis to solve specific business use cases
Experienced in crafting raw or tabular data into insights and presenting it to the stakeholders via compelling data visualizations
Experienced in collaborating with various data-related roles in the organization to solve business use cases, e.g., with Data Engineer, Data Analyst, Product/Project Manager
Excellent programming skills in Python and Data Science related packages on it, such as pandas, numpy, scikit-learn