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<p class="MsoNormal"><span style="font-family:Arial,sans-serif">Summer
2018 Internship, Data Science Practica @ NBCUniversal</span><br></p>

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<p class="MsoNormal"><span style="font-family:Arial,sans-serif">The
Data Science Practica embeds future Data Scientists and Data Engineers in
ongoing projects within NBCUniversal. Future Data Scientists and Engineers
become active members of existing teams developing data science projects,
acquiring specific responsibilities, goals and timelines which are
interdependent with the goals and timelines of the teams they are embedded in.
Upon completing the Practicum, future Data Scientists and Engineers will have
gained experience in real-world projects on a typical data science environment,
using state of the art data science tools, and broad exposure to the media
industry.<span></span></span></p>

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<p class="MsoNormal"><span style="font-family:Arial,sans-serif">Requirements<span></span></span></p>

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<p class="MsoNormal"><span style="font-family:Arial,sans-serif">*
In pursuit of a Master’s or PhD in Data Science, Computer Science, Operations
Research, Statistics, Mathematics, Economics or other relevant quantitative
fields <span></span></span></p>

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Working knowledge of at least two programming languages. Examples: R, Python,
Julia, Java, or Scala<span></span></span></p>

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Prior experience with ML and/or statistical modelling<span></span></span></p>

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Advanced working knowledge of statistics and its applications for inferential
data analysis<span></span></span></p>

<p class="MsoNormal"><span style="font-family:Arial,sans-serif">*
Familiarity with Spark, Hive and/or Hadoop<span></span></span></p>

<p class="MsoNormal"><span style="font-family:Arial,sans-serif">*
Experience with data visualization techniques and concepts<span></span></span></p>

<p class="MsoNormal"><span style="font-family:Arial,sans-serif">*
Must be able to work on-site in New York City <span></span></span></p>

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Cumulative GPA of 3.0 or above<span></span></span></p>

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<p class="MsoNormal"><span style="font-family:Arial,sans-serif">If
this sounds appealing to you, apply here <<a href="https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25354&siteid=5108&areq=8912br#jobDetails=397266_5108">https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25354&siteid=5108&areq=8912br#jobDetails=397266_5108</a>><span></span></span></p>

<p class="MsoNormal"><span> </span></p><p class="MsoNormal"><span><br></span></p><p class="MsoNormal"><span>PS UCB students: Sounds interesting but you're not familiar with Spark, Hive or Hadoop? You can get training at D-Lab or BIDS.</span></p>

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