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Data Scientist

Posted 2 February by Premier IT Easy Apply Ended


3 Months (extension with review)


My Client a B2B powerhouse based in London are looking to recruit an experienced Data Scientist to join their growing media consultancy. The company bring together a group talents, including visionaries, artists, strategists and experts across a range of disciplines, to fulfil this mission for our clients. They believe great ideas can come from anyone and anywhere.

Job Description

The Data Scientist will be a key driver in delivering solutions and strategies specifically focusing on Google Analytics, DoubleClick and Social Media data stacks.
key responsibilities:

  • Working closely with the precision team and supporting the Head of Technology, you will lead the development, roll-out and maintenance of an automated reporting dashboard.
  • As the team lead for data retrieval, preparation, analysis and visualisation generation working with both client and third-party data sources your role will be to work with Google Analytics, Omniture, DCM, DS, LinkedIn and Facebook.
  • Data Consistency will be the key to success throughout this role.

A successful applicant will have:

  • Expert knowledge in data extraction, cleansing, manipulation and analysis
  • Experience of handling medium to large volumes of data.
  • Excellent knowledge of Amazon Web Services (AWS) technology stack, with a huge focus Amazon Quicksight, Redshift, S3 and EMR.
  • Great understanding of Python
  • Experience using SQL/NoSQL/Redshift
  • Knowledge of Hadoop Frameworks; Apache Spark, HBase, Presto, Flink
  • Experience using Amazon Quicksight
  • Understanding of Linux and Git.

Alternatively, if you are not looking for a new opportunity at present but you know someone who might be interested, please put them in touch. We offer up to £500 for all successful referrals place.

Look forward to hearing from you.

Premier are acting as an employment agency

Required skills

  • Data
  • Python
  • Spark
  • SQL
  • Hadoop
  • Redshift
  • Data engineer
  • Data science
  • Amazon s3

Reference: 34389826

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