Place of work: United Kingdom, Inner London
Type of job contract: for an indefinite period, full-time

Required education:
Offered salary: Not specified
Number of positions: 1

Working area

Computing, engineering, science professionals
   Physicists, chemists and others
        Physicists and astronomers

JOB DESCRIPTION:

Data Scientist / Marketing Analytics Developer (MapReduce Big Data) London to £60k Data Scientist / Marketing Analytics Developer (MapReduce Big Data SVM Bayesian Java Hadoop). Global financial trading firm is seeking a skilled Data Scientist with strong experience of MapReduce and Big Data. You will find innovative new ways to optimise the marketing channel spend, using multichannel attribution platforms. As a Data Scientist, you will implement maps and reduce jobs, conducting linear and logistic regressions utilising SVM and Bayesian analysis. Writing attribution algorithms, client value predictions and reporting tools, you will improve the performance of digital marketing and enhance data from Google Analytics and Site Catalyst. This is a superb opportunity to join a massively successful firm with outstanding career opportunities. You will be working in a professional, yet sociable and informal environment based in the City. Requirements: ·MapReduce experience ·Previous experience of Big Data analysis ·Understanding of linear and logistic regressions ·OO programming skills, ideally in Java ·Degree educated, ideally in an analytical subject (such as Physics, Mathematics or Computer Science) ·Excellent communication and team-working skills As a Data Scientist / Marketing Analytics Developer you will earn a competitive salary (to £60k), plus bonus and benefits package including pension, private medical care, gym membership, season ticket loan and much more. Send your CV or call 020 7090 2585 today for more information on this Data Scientist / Marketing Analytics Developer opportunity. This job was originally posted as www.cwjobs.co.uk/JobSeeking/Data-Scientist---Big-Data-Analytics_job63486237.

Work hours:

  • Without entering work hours

Requirements




source: https://www.ec.europa.eu/eures

  
     


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