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求Amazon Research Scientist internship 面经

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snowdustdj 发表于 2014-2-12 23:48:20 | 显示全部楼层 |阅读模式

2014(1-3月) 统计类 硕士 实习@Amazon - 内推 - 技术电面 |Other


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大家好,最近在找实习,通过地里大牛的推荐有幸拿到了Amazon research scientist intern 的电话面试,由于这是我从小大大第一次面试。。。。并且我搜地里的面经都是码农类的,所以问问前辈有过这个职位的电话面试经历吗?谢谢了。
下面是这个职位的一些要求:. from:
Research Scientist - Risk Modeling
Are you passionate about building data driven solutions to drive the profitability of the business? Are you excited about modeling terabytes of data and developing state of the art algorithms to solve real world problems? Are you excited about evaluating new sources of data to improve the bottom line of the business? Do you have proven analytical capabilities, exceptional communication, project management skills, and the ability to multi-task and thrive in a fast-paced environment? We need you to help us grow this innovative program that will promote sellers’ success and growth on Amazon.

Amazon Lending is an exciting program designed to provide small businesses with click-to-cash access to funds that they need to grow their business with Amazon. We take pride in building scalable automated systems that make data-driven decisions to automate the entire lending process on a global scale. At Amazon Lending, understanding customer data is paramount to our success as we innovate to build new products and grow the lending business in US and expand internationally.

· Research, analyze and extract insights from customer data and turn those insights into actions that are impactful to the business. 鏉ユ簮涓浜.涓夊垎鍦拌鍧.
· Use data analysis, statistical and machine learning techniques to develop solutions for originating credit products and mitigating credit portfolio losses.

· Use rigorous cost/benefit analysis to develop optimal product and pricing strategies.

· Analyze and understand large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends

· Design, develop and evaluate highly innovative models for risk management
· Work closely with software engineering teams to drive model/solution implementations and new feature creation

· Establish scalable, efficient, automated processes for large scale data analyses, and model development, validation and implementation

· Research and implement novel machine learning and statistical approaches

· Developing lending portfolio benchmarks, KPIs and management reporting.

muto517 发表于 2014-10-2 09:50:55 | 显示全部楼层
the information about statistics is so lacking here
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xperzy 发表于 2014-2-18 22:49:03 | 显示全部楼层
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nothingtrouble 发表于 2014-2-20 04:19:27 | 显示全部楼层
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keleepapaya 发表于 2014-6-18 00:16:16 | 显示全部楼层
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wwtpcsuper 发表于 2015-4-24 05:52:19 | 显示全部楼层
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Lolipop 发表于 2016-2-9 12:32:28 | 显示全部楼层
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