Data Scientist

Overview:

Our client is looking for a dynamic individual, who has solid software development experience, a detailed understanding of machine-learning and modelling techniques, to join the company data science team. The ideal candidate for this position is detail-oriented, highly analytical and self-motivated. The successful incumbent will have a passion for discovering solutions hidden within data and working with stakeholders to improve business outcomes.

 

Responsibilities:

  • Engage with business stakeholders to understand, refine and document requirements
  • Identify and source relevant data from internal and external sources
  • Analyze and clean data
  • Engineer data features
  • Select the most appropriate analytical models for the requirement
  • Transform data and test analytical models
  • Optimize model parameters
  • Present the findings to stakeholders (including non-technical stakeholders)
  • Generate data visualizations and document findings
  • Develop models into production solutions, where required
  • Refine the model for the production environment
  • Provide production support for existing solutions
  • Test data and code
  • Review code from teammates
  • Self-manage to deliver on project deadlines.
  • Remain current with the latest data science tools and techniques

 

Skills / competencies and experience

  • Excellent understanding of machine learning and data analytic techniques
  • Strong analytical and problem-solving capabilities
  • Highly detailed oriented
  • Experience working with Python and SQL
  • At least 1 years’ experience working on data science initiatives
  • Excellent development and software engineering skills
  • Strong communication skills – able to explain complex concepts in layman’s terms
  • Good interpersonal skills, ability to work with diverse personality types and deal with conflict in an effective way
  • Ability to work individually and with teams
  • Adaptable and comfortable working in an experimental environment
  • Experience with Kubernetes and Docker preferable

 

Qualification:

  • Postgraduate degree in mathematics, statistics, computer science, computer engineering or related technical discipline
  • Strong academic performance
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