Computational Modelling
Develop, select and apply algorithms and advanced computational methods to enable systems or software agents to learn, improve, adapt and produce desired outcomes or tasks. This also involves the interpretation of data, including the application of data modelling techniques to explore and address a specific issues or requirements
Type
Domain
Competency Area
Development and Implementation
Levels
Identify and utilise appropriate statistical algorithms and data models to test hypotheses and derive patterns or solutions
Identify appropriate statistical algorithms and data models to test hypotheses or theories
Use appropriate analytics platforms and analytical tools given specific analytics and reporting requirements
Utilise a range of statistical methods and analytics ap proaches to data
Conduct statistical modelling of data to derive patterns and/or solutions
Perform coding and configuration of software agents or programs based on a selected model or algorithm
Conduct tests on the actions taken and outcomes to assess effectiveness of the model
Diagnose unintended outcomes produced by analytical models
Propose changes or updates to the model or algorithms applied
Implement changes to the coding and configuration of software agents or programs
Draw relevant trends and insights from data analysis to support decisions
Develop and utilise new algorithms and advanced statistical models to enable the production of desired outcomes
Evaluate prospective analytical tools and platforms for their functional capabilities and ability to meet requirements of the analytic environment
Develop new algorithms to enable the learning, improvement, adaptation or reproduction of outcomes
Develop regression models, including linear, multiple and logistic regression models
Develop mathematical models to isolate trends and optimise data-driven decision making
Create learning models with a discrete set of environment states, actions and reinforcement signals
Develop testing procedures to evaluate the data model
Analyse root causes of any issues highlighted
Facilitate changes to statistical models, to optimise performance and yield intended outcomes
Apply complex and advanced statistical analysis and modelling techniques
Uncover underlying relationships among different variables
Design advanced statistical and computational models, application of algorithms and modelling techniques
Direct data analytics and statistical modelling efforts across the organisation
Make decisions on appropriate data analytics and computational methodologies to the problem
Design complex or advanced statistical and computational models
Evaluate a broad range of algorithms and advanced computational methods to determine suitability for business context
Spearhead the application of algorithms, models and computational techniques to new domains
Establish guidelines for the creation and selection of effective algorithms and statistical models
Synthesise critical findings and insights to address a significant business need or problem