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    New South Wales
    Hearing Australia
    Adelaide, South Australia
    Engineering Jobs
    Broadmeadows, Victoria
    Kangan Institute
    $ 118,731.75 + superannuation   Bendigo TAFE and Kangan Institute are the TAFE trading brands of Bendigo Kangan Institute.  We are one of Victoria's largest TAFE providers, with over 40,000 enrolled students per annum.  We offer vocational training to students from all over the northern metro corridor as well as Loddon Campaspe regions.  We pride ourselves on the quality of training we provide by having industry expert teachers who impart their wealth of experience to the workforce of the future.  We believe in everything we do, we give people the opportunity to be the best they can be. We are currently seeking an experienced Data Scientist & Analyst to join our ICT team at Broadmeadows Campus. The Role: Reporting directly to the Director Strategy, Architecture, Risk and Compliance, you will be supporting the business objectives and strategy building data flows into data lake and data warehouses from a wide range of sources. You will be responsible for delivering and managing the Data Lake technologies and various data mining tools, statistical techniques, algorithms, data patterns and insights. Using your mix of data analytics, technical, business, and communication skills, you will collaborate with a variety of departments within Bendigo Kangan Institute and external organisations' on a regular basis to plan and help translate requirements into solutions, and ensure delivery of successful business outcomes. Required Qualifications: Relevant Degree and postgraduate qualifications in Data Science and experience, or extensive experience in statistics and/or mathematics with strong knowledge of statistical/data mining methods, patterns, and application in a business environment. A strong experience in Big Data analytic and Data-Lake design. A blend of strong stakeholders' management experience and technical subject matter expert is essential for this role. More than 5 years' experience building Data-lakes and optimizing data pipelines, architectures, and data sets. Extensive experience in data management related to Data Lakes Cloud, Data Warehousing, Analytics and/or Business Intelligence. Ability to interpret and document complex calculations, formulae and business rules. Good understanding of data modelling techniques, tools/language - R, Python, Scala, SAS, etc. Good understanding of AI, CI and ML use in Analytics. A valid Working with Children Check
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