Job description

Duties And Responsibilities Include But Are Not Limited To

What will you be doing?

  • Interact with internal and client teams to identify questions and issues for data analysis and experiments.
  • Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources.
  • Work with massive and complex data sets from multiple sources, utilising big data tools and techniques to analyse, provide insight and validate hypotheses.
  • Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.
  • Translating analytical insights into concrete, actionable recommendations for business, process or product improvements.
  • Making recommendations for the collection of new data or the refinement of existing data sources and storage.
  • Collaborate with subject matter experts to deliver and solve real-world engineering problems with ML and data science.
  • Collaborate across the business to influence change and bring ideas to life.
  • Create solutions that will benefit the wider community.
  • Contribute to creating a more sustainable future.

What We'll Love About You

  • Minimum Educational Qualification- Engineering Graduate
  • 1 - 5 years' experience in a data science environment (experience may be corporate, research/government or academia)
  • Ability to manipulate and analyse complex, high-volume, high dimensionality data and metadata from varying sources.
  • Passion for empirical research and for answering hard questions with data.
  • Knowledge of analytical tools and big data technologies (Map/Reduce, Hadoop, Hive, etc).
  • Familiarity with relational/non-relational data manipulation, machine learning, and scientific statistical analysis.
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Flexible analytical approach that allows for results at varying levels of precision.
  • Solid understanding and experience with programming logic and various paradigms.
  • Good Communication Skills

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