Job description for Data Scientist at PT. Hypefast Karya Nusantara
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
- Discuss and align with stakeholders on key product metrics, design and propose experimentation strategies
- Launch A/B tests, analyze experiment results and provide recommendations
Requirements :
- Have 3+ years of experience in ML/DL
- Bachelor's Degree in Mathematics, Statistics, Computer Science, or Data Analytics.
- Strong command in python, SQL, etc.
- Proficient in developing ML pipelines using Cloud Run, Airflow, Vertex AI GCP is a plus
- Having experience in a Recommendation System is a plus
- Strong academic background in concepts of machine learning and deep learning (DL)
- Comfortable deploying code in cloud environments/on premise environments
- Be comfortable and flexible in working in an environment where priorities evolve
- Able to write clean code has the habit of maintaining a clean documented code
- Understand best practices in ML/DL and is continuously open to learn
