廣州IT外包職位 機器學習算法工程師（英語口語）12-19萬
要求如下：
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1、工作經(jīng)驗：1~2年的經(jīng)驗 ，有數(shù)據(jù)科學、數(shù)據(jù)分析、統(tǒng)計建模或機器學習工作經(jīng)驗，最好在銀行、保險或金融服務行業(yè)工作；
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2、學校要求： 統(tǒng)招本科、碩士畢業(yè)（留學經(jīng)驗加分），計算機/網(wǎng)絡工程/數(shù)學相關(guān)專業(yè)；
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3、英語要求：口語必須流利溝通，需對接國外
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4、技術(shù)要求：python代碼能力強， 掌握PySpark或者spark，pylearn2, SQL
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5、優(yōu)先：有機器學習(ML Ops）的相關(guān)經(jīng)驗；有銀行/保險/金融行業(yè)經(jīng)驗
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6、可以來現(xiàn)場面試哦
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Junior Data Scientist
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Purpose
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Support country to achieve data driven decision organization
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Conduct analytics modelling to generate business insights.
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How you can contribute
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Understand business needs and design modelling methodology
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Conduct data sourcing, integrate necessary data
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Conduct data discovery and data transformation
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Build models to find best optimal and test model
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Drive model execution
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Model review and optimization
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Qualifications
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Bachelor/Masters in Statistics, Information Engineering, Computer Science or Mathematics
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1-2 years working experience
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Working experience in Data Science, data analytics, statistical modelling or machine learning, preferably in banking, insurance or financial services industry is preferred
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Machine Learning certificates preferred
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[Must have] - Strong demonstrated coding in Python, SQL and by extension, PySpark
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Excellent communication skills in English
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Good business acumen and strong analytical skills
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Results oriented and customer centric
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Open and collaborative
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[Must have] - Good fundamentals in data science
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[good to have] - Good understanding of driving value from using ML required for communication with stakeholders
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[good to have] - Good understanding of Insurance knowledge
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