Unlock Your Potential as a Data Expert

4 days ago

Perth, Western Australia beBeeDataScientist Full time $100,000 - $160,000
Job Description

The successful candidate will work at the customer site alongside a senior member of our team. You will represent the customer and gain valuable insight into how our customer conducts engineering changes, configuration management, asset management, and sustainment activities.

The role involves working in an Azure AI environment and requires support for Azure Data Fabric and Informatica technologies to facilitate seamless data integration and advanced analytics.

Key responsibilities include:

  • Data modelling and data analysis
  • Strong software engineering and coding skills, ideally in a data-intensive environment
  • Informing strategy and architecture through cutting-edge research and industry best practices knowledge
  • Influencing senior stakeholders through deep technical expertise, customer/domain knowledge, and vision and objectives
  • Building and developing moderate volume/complexity data pipelines into a production environment
  • Leading the translation of visualisation designs into physical solutions
  • Hands-on experience with descriptive, diagnostic, predictive, and prescriptive analytics
Required Skills and Qualifications

To be successful in this role, you will need strong interpersonal skills, team-oriented approach, keen eye for detail, and curiosity to find out why things are failing, how they can be resolved, and how customers can get more benefit from our solutions.

Essential requirements include:

  • Developing Python scripts for data cleansing, analysis & modeling
  • Azure AI Foundry
  • Azure AI Search, Translator, Speech, Language, Vision, Content
  • Azure Fabric Data Science, Azure SQL, Azure Cosmos, Azure Data Fabric
  • Industry certifications (e.g., Azure Data Scientist Associate) preferred
Benefits

This role offers a diverse technical stack, opportunity to develop agnostic experience across multi-variant technologies, attractive working environment – emphasis on training and flexibility, innovative and continually improving complex data environment which encourages technical improvement and diversity.

Culture

Our team is collaborative, large enterprise end customer, and we have a flexible culture that welcomes innovation and improvement.

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