[TW] Machine Learning Scientist

Taipei, Taiwan

Lead the definition of feasible problems and reasonable measuring ways to drive business solutions.
Partner closely with business and engineering teams to collect requirements, and provide assessment or suggestion.
Develop user behavior predictive models with valuable findings from large-scale datasets, especially in the field of traveling related problems.
Prototype and build machine learning pipelines to accelerate development life cycle.
Demonstrate data visualizations with clear presentations of insights and business recommendations.
Research machine learning techniques and optimization methods based on multi-source data to improve the quality of DMP product.

MS/PhD in Computer Science, Statistics, Math, Physics, Engineering, or equivalent experience.
Excellent understanding of machine learning or statistical data analysis in theory and applications.
Strong collaboration skills with software and DevOps engineers to build production-level products.
Applied experience with handling and analyzing large-scale datasets.
Experience with at least one modeling framework such as R, Scikit Learn, TensorFlow, or Keras.
Expertise in programming languages such as Python, R, or Java.
Fluency in SQL-like programming languages.
Experience in Hadoop ecosystem such as Spark, Hive.
Experience with cloud services such as AWS or GCP is a plus.
Knowledge and experience in deep learning models is a plus.

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