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Data Scientist (London) in London

Twitter

Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

If you dream of making sense of terabytes of data through statistical models to answer strategic business questions, this job is for you! Joins us and work with a diverse set of stakeholders in the company including data scientists, engineers, product and media partnerships managers.

 

What You'll Do

- Conduct analysis to learn from terabytes of data

- Apply advanced statistical techniques to model user behavior, identify causal impact and attribution, build and benchmark key metrics

- Write Map-Reduce jobs in Scalding, complex SQL queries, R and Python scripts

- Use data visualisation tools such as Tableau

- Communicate findings to product, media partnerships, and management teams

 

Who You Are

- 3+ years of work experience involving quantitative data analysis to solve problems

- Degree in Applied Math, Economics, Statistics, Physics, Chemistry, Engineering, Computer Science or other quantitative field. PhD or MSc preferred

- Expert in SQL and other processing languages

- Expert with data analysis languages (R/Matlab/Python…)

- Ability to communicate results clearly and effectively

 

Bonus

- Experience with Scala, Java, C#, C++

- Experience with large datasets and distributed computing architectures like Hadoop, Scalding, Spark, Hive, Presto, Impala…

- Managing or developing data pipelines

- Passion for the Twitter product

- Experience or passion for data visualisation

 

Posting date: 05/01/2017

Closing date: 02/02/2017


 

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