Principal Data Scientist (VPSG6)

Company:
Location: Melbourne VIC

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Job Description

Location: Melbourne | CBD

Job type: Full time

Organisation: Department of Environment, Land, Water and Planning

Salary: $124,033 - $165,983

Occupation: Emergency Management

Reference: VG/50942072AUG

Opportunity to lead the development and implementation of predictive analytics and machine learning algorithms to help reduce the impact of bushfires on Victoria's parks, forests, and other public land.

The Opportunity

  • Work in a highly supportive team environment, with a culture which values connection, collaboration, curiosity, and authenticity
  • Make a difference in Victoria's bushfire, emergency, and land management sector

About you

You are passionate about data and are someone who can see the big picture, while having mastery of the details. You are a self-starter and an excellent communicator, and you love taking initiative and pioneering new and creative ideas. You are confident and comfortable working with ambiguity and uncertainty.

The Role

The Principal Data Scientist is a member of the Data Insights team in DELWP's Forest, Fire and Regions (FFR) Group. This role leads the development and implementation of predictive analytics and machine learning algorithms, to support strategic and operational decision making to reduce the impact of bushfires in Victoria's parks, forests, and other public land. The Principal Data Scientist builds group-wide data science capability and provides expert advice to staff on the design and implementation of predictive analytics and machine learning projects, including the operationalisation of algorithms and accuracy assessment. The Principal Data Scientist works closely with technical staff from DELWP's fire management partner agencies, interstate and international fire management agencies and research organisations. This role leads projects covering a variety of topics, including early fire detection, suppression effectiveness and aerial firefighting.

Data Insights is a multi-disciplinary and specialised in-house data team, providing a range of centralised services, including business intelligence reporting, predictive analytics, and data management, to Forest, Fire and Regions Group and Victoria's land and emergency management partner agencies. Data Insights is transforming the way Forest, Fire and Regions Group uses data to support its role in creating safe, liveable, inclusive, and sustainable communities, and thriving natural environments.

Specialist/Technical Expertise/Qualifications

  • 7+ years' experience using R, Python, and SQLServer in production level machine learning and predictive modelling applications including tools and packages such as: RStudio Server, Shiny, Tidy Models, Random Forests/Ranger, and XGBoost.
  • 5+ years' experience in developing and maintaining consultative and collaborative relationships with internal and external stakeholders across a variety of machine learning projects.
  • Experience with parametric and econometric modelling such as hypothesis testing, regression, ARIMA, and Markov Chain Monte Carlo simulations.
  • Professional experience collaboratively building and maintaining code using using version control software (e.g. GIT).
  • Experience with a technology stack including Docker, Linux, Microsoft Azure and SQLServer.

This is an ongoing position.

To be considered for this position, your application should include:

  • A written response [maximum three pages] to the Key Selection Criteria (specialist & capabilities) as detailed in the position description.
  • An up-to-date resume [maximum three pages] which clearly details your skills and experience as relevant to this role.

Applications close at midnight on Thursday, 9 September 2021.

Other relevant information:

Preferred candidates will be required to undertake pre-employment screening, including a Declaration and Consent form and a National Police Check.

Applicants must possess corresponding work rights to be eligible for appointment for the advertised employment period. To be appointed to an ongoing position you must be an Australian Permanent Resident or an Australian/New Zealand citizen.

*** Mention DataYoshi when applying ***

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