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Data Scientist

  • Temporary
  • United Kingdom, United Kingdom
  • Posted 10 months ago
  • £41.35 per hour GBP
  • Applications have closed
  • Engineering Jobs, DevOps & Cloud Jobs
  • Other
  • Mid-range
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Data Scientist

Location: UK Remote
Length: Asap – 31st December
Rate: From £41.35 p/h + PAYE (Approx. £86K per annum)
Hours: 9am-6pm

This client is a top 5 tech giant and owner of some of the world’s most popular social media platforms and instant messaging apps, connecting billions of people across the globe. 

Job description:

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.

Job Responsibilities:

  • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
  • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
  • Generate and test hypotheses and analyze and interpret the results of product experiments.
  • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
  • Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

    Skills:

  • Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
  • The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
  • Experience working with large datasets.

    Education/Experience:

  • Master of Science degree in computer science or in a relevant field.

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