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.