工作內容

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

條件要求

[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

公司福利

基本福利
1. 上下班時間彈性
2. 不影響工作進度下,自由排休不扣薪
3. Team Building 凝聚共識與感情
4. 每個月不定時舉辦員工聚餐或活動
5. 員工慶生活動
6. 辦公室備有免費飲料與零食
7. 早晚餐供應、TGIF 免費午餐
8. 業績/分紅獎金
9. 鼓勵並補助健康檢查
10. 員工配股/優惠認購股份

學習與成長
1. 在職進修補助
2. 員工教育訓練
3. 海外駐點輪調 (美國矽谷、日本東京、中國上海和北京)

薪資範圍

NT$ 60,000 - 100,000 (月薪)

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