Data Scientist

Jakarta, Indonesia

JOB TYPE

Full Time

About the Role

As a Data Scientist, You will be responsible to lead and implement analytics use cases across industry verticals. Preferably a T-Shaped skills owner, having cross-discipline knowledge with at least one deep discipline expertise. You will collaborate closely with fellow Data Scientists, Data Engineers, Data Analysts, and Product managers who are highly passionate to develop our products.


  • 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 advise 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 recommendations for new product development or online experimentation

Requirements

  • 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.

  • Enjoy working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images, 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 3+ years of experience in ML/DL

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