Data Engineer

November 6, 2020 The Eastern Suburbs, Sydney

Responsibilities

  • Developing machine learning models against datasets to generate insights to support product feature development.
  • Working closely with clients and implementation teams to develop technical solutions.
  • Supporting the development of technical, training, and business related documentation.
  • Leading analytic practices, design and development cycles.
  • Working with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
  • Producing new and creative analytic solutions that will become part of the Open Insights DaaS products.
  • Generating and presenting reports and analysis of model quality.
  • Assessing the effectiveness and accuracy of new Data sources and Data gathering techniques.
  • Collaborating with teammates across the product development organization.

Skills and Requirements

  • Bachelor’s degree in Statistics, Mathematics or Computer Science
  • Professional experience, or can convincingly demonstrate the level of skill.
  • Proficiency with statistical computer languages such as R or Python.
  • Proficiency with relational database systems (SQL) and object based Data stores.
  • Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Professional experience with machine learning techniques and how to apply them in real-world scenarios.
  • Excellent verbal and written communication skills.
  • Drive to learn new technologies, statistical methods and Data manipulation techniques.
  • Understand business context and challenges and articulate practical solutions.
  • Strong problem solving skills with an emphasis on product development.

Preferred

  • Experience with distributed Data systems such as Apache Hadoop or Apache Spark.
  • Expertise in analyzing large, complex, multi-dimensional datasets with a variety of tools.
  • Proficiency in Linux and version control software (git).
  • Familiarity with Object Oriented programming languages such as Java, C# or C++.
  • Familiarity with Agile / Scrum development practices.

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