This position is for one of our clients from leading telecommunication company

What you will do:

Design and develop analytics frameworks (including ML and statistical models) for diverse use cases.
Maintain and ensure the quality, performance, and execution of analytics models across multiple products.
Conduct periodic reviews of model implementations and data pipelines to ensure reliability and scalability.
Collaborate with data science and analytics teams to build high-quality dashboards for monitoring product performance.
Provide guidance on leveraging Telkomsel data assets to solve complex business problems.
Act as a consultant and champion for advanced analytics initiatives, including machine learning implementation, across the organization.
Perform exploratory data analysis (EDA) on multiple data sources to generate new insights and recommendations for product development.
Contribute as part of the self-care apps squad team by driving initiatives that enhance user acquisition, retention, and revenue growth.

The qualities our client seeks:

Minimum Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or other quantitative fields with a GPA of at least 3.00.
Fluent in English, both verbal and written, with strong communication skills to convey analytical concepts to diverse stakeholders.
At least 2 years of relevant experience in data analytics, machine learning, or related fields.
Strong knowledge of machine learning, statistical modeling, and data analytics techniques.
Hands-on experience in data pipeline management, dashboard development, and performance monitoring.

(Optional but preferred) Professional certifications such as: