Job Description

1. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
2. Master data analysis and other data science technologies to understand data.
3. Knowledge of a variety of statistical and machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and select AI/ML technologies to solve problems.
4. Strong problem solving skills with an emphasis on product development.
5. Cooperate with other departments to effectively use internal/external big data.
6. Experience working with and creating data architectures.
7. Excellent written and verbal communication skills for coordinating across teams.
8. Aggressively attend training courses, learn state of the art technologies and study top papers.

Requirements

Education and Experience Qualifications:
1. Master, Department of Statistics/Applied Mathematic/Computer Science.

Requirements:
1. Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
2. Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting, Trees, text mining, etc.
3. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
4. Experience analyzing data from 3rd party providers: Google Analytics, Facebook Insights, etc.
5. Can quickly master a new programming language.
6. At least 1-year experience of AI development or Data Analysis.
7. 薪資會依學經歷背景及相關工作經驗核薪
Other:
1. Passionate about researching AI, familiar with AI/ML technologies
2. Experience in Kaggle competition and fine-tuning Neural Network models

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Asus 華碩電腦股份有限公司

臺北市北投區立德路15號

About us

華碩為美國《財富》雜誌評比「世界最受推崇企業之一」,並榮登美國《富比士》雜誌「全球最受信賴企業排行榜」及英國《路透社》「全球科技100強」。產品類別橫跨主機板、顯示卡、筆記型電腦、智慧手機、螢幕、路由器及全方位的科技產品解決方案,並積極拓展電競產品及開創AIOT新領域的各種應用。華碩致力追尋無與倫比的科技創新,為全球使用者創造體貼人心的智慧生活與無所不在的幸福感,以成為數位新世代備受推崇的科技創新領導企業為品牌願景。華碩擁有世界級研發菁英超過5,000人,產品行銷全球70多個國家,年營業額超過100億美元,每年獲獎數眾多,2018年平均每日獲得超過11個獎項,產品創新、設計及品質皆備受全球市場肯定。

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