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Data Scientist 1189 views

KEY OUTCOMES:

Supports the Panel Quality teams in developing and improving the ongoing data quality management activity, proactively identifies potential issues, challenges and solutions.

  • Formulates a point of view and provides sound recommendations for the best course of action when faced with either internal or external issues
  • Follows through on action plans and discussions
  • Communicates efficiently, develops and maintains strong relationships across teams

·         Contributes to methodology, process, and measurement definitions

  • Acquires the knowledge of databases, data mining and reporting tools, using standard and customised software packages
  • Inputs in methodology discussions involving statistical and advanced analytics techniques
  • Participates in relevant training sessions and identifies the technical training requirements for the wider team
  • Mentors and coaches team members in their technical skills and new methodology implementation
  • Regularly makes a difference by developing and implementing initiatives to improve data quality and/or cost/time efficiencies

SPECIALIST SKILLS/KNOWLEDGE/SYSTEMS EXPERIENCE:

·          Experience analysing high volume disaggregated data is essential

·         Experience working as an analyst or data scientist in a commercial or academic capacity

·         Knowledge of programming and data querying languages (SQL, Python,R , SAS)

·         Educational or professional background in Mathematics, Statistics, Information Technologies other adjacent fields of science

·         Experience in using Machine Learning / AI desirable

·         Ability to demonstrate a logical thought process

·         Strong relationship building, teamwork, and communication skills

·         Follow-through and result-orientated approach

·         Strong attention to detail and analysis skills

·         Drive to achieve high quality of deliverables

·         Strong technical aptitude is essential

·         Ability to work independently

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