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工作內容

  • Work with the team throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Analyze data from each domain to drive optimization and improvement of product development, marketing techniques, and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop and seek custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, cost estimation, and other business outcomes
  • Make meaningful data visualization to the data, predict, and model

所需專長

  • Get an excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common python data science toolkits, such as Pandas, NumPy, Scikit-learn, etc. Excellence in at least one of these is highly desirable
  • Experience working on modem DevOps/MLOps environment and workflow, like Git, MLflow, kubeflow, cloud-native, Apache family, public clouds, etc.
  • Get an excellent understanding of at least one data collection and processing toolkit like Pandas, Tableau, clouds, etc.
  • Python is hard requirement

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