About the role
• Lead end-to-end deployment of advanced analytics pipeline, collaborating with product managers, data engineering, or backend engineer team
• Translating business needs to data science problems, and performing experiments to validate the hypothesis
• Develop machine learning models (ML)/advanced analytics algorithms using state-of-the-art methods
• Design analytics framework (ML and statistical model) for various use cases
• Maintain the quality and execution of the analytics models for various products
• Perform periodic review on the implementation of the model and data pipeline
• Collaborate with analytics team to advice on the usage of Hypefast data asset to solve business problems
• Perform exploratory data analysis on various data sources to get new insights to improve and give recommendation for new product development or online experimentation

Qualifications
• Strong academic background in concepts of machine learning and deep learning (DL)
• Hands-on... experience in working with deep learning frameworks like tensorflow, pytorch, etc.
• Comfortable deploying code in cloud environments/on premise environments
• Be comfortable and flexible in working in an environment where priorities evolve
• Write clean code has the habit of maintaining a clean documented code
• Understand best practices in ML/DL and is continuously open to learning
• Have 2+ years of experience in ML/DL
Jakarta Indonesia

Salary Criteria