1. Use machine learning and analytical techniques to build prediction model for demand forecasting and predictive maintenance
2. Experience in analyzing and extracting valuable information from large amounts of business data
3. Code review
4. Design efficient, scalable, automated processes for large scale data analyses, model development, model validation and model implementation
5. Research and evaluate pioneering machine learning and statistical model
[Requirements]
* Have a degree in a quantitative discipline such as like physics, mathematics, computational chemistry, statistics etc.
* At least 2 years of experience in data analyzing
* Fluency in a programming language (Python, C, C++, Java, SQL)
* Working knowledge of complex data analysis including but not limited to machine learning, time series, and deep learning
Before apply, please finish any 2 out of these 3 Kaggle competitions:
1. Regression: https://www.kaggle.com/c/house-prices-advanced-regression-techniques
2. Classification: https://www.kaggle.com/c/titanic
3. Time-series prediction: https://www.kaggle.com/c/rossmann-store-sales/data
基本福利
學習與成長