Data Scientist
About the Role
Data Scientists analyse and interpret large amounts of disorderly data and transform it into functional information, recognising patterns and identifying trends. They then use this to provide commercially focused recommendations to support business decisions.
Data Scientists build algorithms and develop predictive models to drive organisational strategies and tactical operations. They create data pipelines, troubleshoot data and script issues and proactively analyse the model building processes to identify and recommend improvements.
Data Scientists collaborate with technical and business colleagues to embed these models and communicate their learnings in an accessible manner to different types of audiences.
Key Industries for employment opportunities are extremely broad ranging from and not limited to: Information Technology, Government, Banking & Financial Services, Retail, Entertainment, Recruitment, Agriculture, Marketing & Advertising , Medical & Healthcare.
Salary Expectation: $112,000 – $163,000
Qualifications, Training, Licenses
Bachelor’s or Master’s degree in a technical or science discipline such as, Applied Mathematics or Statistics, Machine Learning, Engineering, Computer Science, or similar.
Knowledge & Capabilities
Advanced working knowledge of analytical programming: (SQL, SAS, R or Python).
Experience with machine learning (ML models) programs.
Ability to explain machine learning concepts to non-technical audiences.
Data modelling techniques.
Experience manipulating & understanding big data from computer data processing systems.
Analytical and statistical skills.
Ability to translate insights into decisions and actions that directly impact a business.
Strong communication and leadership skills.
World Capabilities
Data Agile
Change Engager
Critical Thinker
Curious Innovator
Life-long Learner
Pathway - Formal
Bachelor’s or Master’s degree in a technical or science discipline such as, Applied Mathematics or Statistics, Machine Learning, Engineering, Computer Science, or similar.
