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Data Scientist

Reference ID : 179MQ
Category :
  • Medical Devices
Date Posted : Jan 22, 2019
Job Location
  • Munster
- Limerick
Experience : 5+ Years
Salary : Negotiable - DOE
Employment Type
Michael McQuade
Contact Number : 086-0435195
Headcount Engineering is sourcing a Data Scientist for a leading client at its medical device manufacturing facility.

Principal Responsibilities

Data Scientist

This person must have strong problem-solving skills and the ability to work on small to large projects in a team environment. This person must also be a highly effective communicator and be able to work in a collaborative environment.

The Data Scientist will be responsible for the following:

  • Provide analytic services including design, analysis, interpretation, reporting, and communication of data evidence for QA and Engineering.
  • Demonstrate data mining and machine learning expertise based on a foundation of statistical principles and applied experience.
  • Ensure the application of appropriate methodology to resolve business problems and meet project objectives with a demonstrated understanding of the functional area.
  • Collaborate with cross-functional teams to translate complex business problems into an actionable analytics framework, with the support of Advanced Analytics management.
  • Exercise judgement in the selection of data mining methods to ensure results are accurate and reproducible.
  • Work cross-functionally to understand source data and to identify and resolve data integrity issues.
  • Is effective in the use of relevant computational tools for data exploration, preparation, and analysis.
  • Produce concise, well-documented, and error-free computer programs and reporting content.
  • Establish and maintain effective relationships with internal and external customers. 
  • Perform statistical analyses of data (60%). Communicate analysis results to project teams (30%). Other duties as assigned (10%). 

Qualifications & Requirements

  • Master's degree in a statistics discipline (e.g. Analytics, Statistics, Data Science, Industrial Engineering or related field with sufficient concentration of coursework in statistics).
  • An excellent knowledge of data mining algorithms for both supervised and unsupervised learning (e.g. generalized linear mixed models, classification and regression trees, neural networks, support vector machines, k-means clustering, random forests, ensemble modelling).
  • Expertise in at least one statistical programming language for data mining and/or machine learning is required (e.g. R, SAS, Python). Proficiency in SAS Enterprise Miner software is preferred.
  • Familiarity with big data software such as Hadoop is preferred.
  • Medical device and/or manufacturing industry experience is preferred.

For further information, please contact Mick on 086-0435195 or forward details in the strictest of confidence to jobs@headcount.ie

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