Educational requirements: Bachelor
English requirements: Competent English
Requirements for skilled employment experience for years: 3-5 years
Required residence status: Temporary visa, Permanent resident, Citizen
Accept remote work: unacceptable
Key duties of the role are:
-Review existing data sources to assess their applicability to address the business problem, and/or propose additional sources required for a solution -Extract and manipulate data from a variety of sources and apply the appropriate pre-processing treatments for analysis. -Support the selection and configuration of analytical tools and infrastructure appropriate to our clients’ objectives, current and target state analytic maturity. -Design, develop and implement learning and/or optimisation solutions in areas that might include asset and inventory management, communications, channels and networks, risk and portfolio analysis, supply chain management and marketing effectiveness. -Design, develop and implement predictive models for areas such as customer segmentation, market basket analysis, offer propensity, demand planning & forecasting, fraud detection, inventory management and risk exposure. -Design, develop and implement approaches for productionising model scoring and the closed loop feedback paths required to support back-testing/test-and-learn model validation. -Apply visual analysis techniques and toolsets to extract patterns and meaning from data in a visual format.
Essential skills for the role are:
-Statistical analysis experience -Algorithm design, implementation and operationalisation experience -Development of statistical models, such as Bayesian, regression and linear optimisation models (ideally 5+ Years) -Development of machine learning models, including deep learning and graph applications (ideally 3+ Years) -Fluency in at least one of the following programming languages R, Python, Scala -Familiarity with the following data-related technologies Hadoop, Pig, Hive, Impala, SQL, Teradata, Oracle, SAS, MongoDB -High-level understanding of architecting cloud-based solutions with the following products AWS Redshift/RDS, S3, EC2, Lambda, EMR, SageMaker, DynamoDB, Cloudformation, Athena, Kinesis – or equivalents in Azure or Google Cloud Platform is desirable
