Data Architect

2 days ago

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Description

• Application of statistical modelling and machine learning techniques with data models including necessary analysis and dashboard creation • A/B testing and data analysis using statistical methods to generate insights and optimise existing and future business processes • Design and implementation of ML algorithm as well as their evaluation and presentation of results • Design and provision of reporting and dashboards to provide oversight of model quality and performance • Integration on dashboard of advanced analytics outputs • Manage the definition, maintenance and resolution of accuracy drift and model performance from a computational resource perspective • Translation of Business requirements to model needs • Establish good governance of code and model maintenance

Requirements

• Knowledge of current analysis techniques, tools and methods appropriate to data modelling across Relational and transactional databases, including • Deep understanding of entities, sub-entities, intersection entities • Relationships, cardinality, intersection resolution, normalisation (1NF – 3NF) and de-normalisation • Attributes and attribute derivation • Drafting and representation approaches • Logical to physical model conversion • SQL data definition language derivation and definition • Knowledge of project management and stakeholder management. • Knowledge and experience in the implementation of graph databases • Knowledge and experience with search services