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优实习 | 脸书、亚马逊 实习机会 | 数据分析

优实习 | 脸书、亚马逊 实习机会 | 数据分析 CareerTu职图
2019-07-08
2
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Facebook 数据科学实习生

职位描述

  • Perform research to advance the science and technology of intelligent machines

  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)

  • Devise better data-driven models of human behavior

  • Contribute research that can be applied to Facebook product development

  • Perform specific responsibilities which vary by team

职位要求

  • Pursuing a PhD degree in Computer Science or related field

  • Extensive experience solving analytical problems using quantitative approaches

  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

  • Currently enrolled in a full-time degree program and returning to the program after the completion of the internship/co-op

实习地点

New York, NY

申请链接

https://bit.ly/2RYYxus


Amazon|数据科学实习生

职位描述

  • A Data Scientist intern on this team must be comfortable working with large volumes of data and be able to manipulate data using a variety of tools.

  • The ideal candidate possesses a good knowledge and set of hard skills across both predictive (machine learning) and prescriptive (optimization) analytics.

  • Our customers are as different as the problems they would like to see solved, and the Data Scientist must be able to deal with ambiguity and shifting goals. Good verbal and written communication skills are essential.

职位要求

  • Currently pursuing aMaster’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience

  • 1+ years of relevant academic research or industry experience in predictive modeling, data science and analysis

  • Track record of applying the scientific method to solve problems by forming hypotheses and testing them through well-documented and reproducible experiments

  • Proficiency in Python, with the ability to write clear, concise, explainable, testable, production-ready code

  • Demonstrated expertise in more than one data science discipline (statistics/econometrics, time series forecasting, field experiments, machine learning, deep learning, Bayesian methods, stochastic modeling, operations research)

  • Strong knowledge of SQL and of relational database systems and concepts

  • Strong written and verbal communication skills

实习地点

Seattle,WA

申请链接

https://bit.ly/2L3mdgq




7月10日,来自亚马逊的数据大咖

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CareerTu职图 CareerTu (www.careertu.com) 是互联网新职业在线技能学习平台,专注于数字营销 数据分析 商业分析 产品设计。Unlock Your Potential 激发潜能,迭代自我 突破技能界限,实现职场飞跃
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