Data Scientist, TweetDeck | Twitter, Inc. | London

Data Scientist, TweetDeck | Twitter, Inc. | London

Data Scientist, TweetDeck (London)

Software Engineering | London

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Twitter is looking for a Data Scientist to join the ongoing development of TweetDeck, our most powerful tool for real-time tracking, organisation and engagement used by industry professionals worldwide. As a Twitter Data Scientist specializing in modeling, you will be designing, building, and shipping complex statistical models that learn from Twitter data.

We are looking for folks that are passionate about understanding data, are well versed in scalable data mining and machine learning techniques, and love to build models. Your focus will be on using statistical analysis and data mining techniques to help us better understand our users, and build intelligent, data driven products that allow our users to do more, faster and at scale.

Although you will work on cutting-edge problems, this position is not a research position. You will participate in the engineering life-cycle at Twitter, including writing production code, and conducting code reviews.

Responsibilities

• Build complex statistical models that learn from and scale to petabytes of data.
  
• Use Map-Reduce frameworks such as Pig and Scalding, statistical software such as R, and scripting languages like Python and Ruby.
  
• Write and interpret complex SQL queries for standard as well as ad hoc data mining purposes.
  
• Define metrics, understand A/B testing and statistical measurement of model quality.
  
• Understand and leverage crowdsourcing and human computation approaches to data labeling
  

Requirements

• MSc or PhD in Data mining, Machine learning, Statistics, Math, Engineering, Operations Research, Computer Science, or other quantitative discipline. Candidates with similar experience are also encouraged to apply.
• Fluent in one or more object oriented languages like Java, C#, C++, Scala, etc (or equivalent) and scripting languages like Python or Ruby (or equivalent)
  
• Experience with feature engineering and model building
  
• Experience with statistical programming environments like R or Matlab.
  
• Experience with scripting languages like Python or Ruby etc.
  
• Experience in mapping business needs to engineering systems.
  

Desired

• Experience with large datasets and map-reduce architectures like Hadoop and open source data mining and machine learning projects
  
• Three or more years of industry experience
  
• Contributions to the open-source community
   

https://about.twitter.com/careers/positions?jvi=odCGYfwd,Job