Education Data Scientist

Join our innovative and dynamic Learning Analytics team as an Education Data Scientist and help revolutionise the way we use data to enhance the student learning experience at Curtin. You will play a key role in implementing, promoting, and supporting the adoption of new applications that have the potential to transform the way our academic teaching staff use data to engage students at scale.

We are seeking a highly motivated and tech-savvy individual with a passion for data and a desire to make a difference in education. Our small team is working on cutting-edge data analytics and software solutions for learning and teaching, and we need someone who can both develop and implement these solutions and interact with our users. Strong problem-solving and technical skills, as well as excellent communication and collaboration abilities, are a must.

If you are a data-driven problem-solver with a passion for making things better, we want to hear from you!

In this role you will…

• Partner with teaching areas to understand their needs and identify opportunities for data analytics to add value.
• Prepare and clean data sets for analysis, modelling, and deriving actionable insights.
• Identify and utilise suitable technologies, tools, and algorithms to support learning and teaching activities.
• Empower teaching areas by providing training and support on data analysis techniques and tools.
• Derive credible insights from the data and use best coding practices to generate reproducible work.
• Identify analytics opportunities to improve teaching delivery and maximise student learning outcomes.
• Translate insights into actions by working with teaching areas to develop and implement solutions.
• Build and maintain data tools, pipelines, and infrastructure to support data analysis efforts.
• Collaborate with the team to improve our systems and processes, including requirements definition, prototyping, design, coding, testing, deployment, support, and maintenance.

• Relevant tertiary qualifications or an equivalent combination of relevant experience and/or education/training.
• Proficiency in at least one analytics scripting language (we code Python).
• Demonstrated knowledge of data collection processes and the manipulation and analysis of information to extract value.
• Strong analytical and problem-solving skills, and the ability to understand and effectively tackle challenging problems.
• Excellent communication skills, with the ability to articulate complex, technical concepts to non-technical clients and to consult and liaise with personnel across all levels and disciplines.
• Bonus points for experience in learning analytics, educational data mining, Learning Management Systems (e.g., Blackboard or Canvas), or Student Management Systems (e.g., StudentOne).
• Teaching or learning design experience would be a big plus, as would experience with AWS.

As this is a continuing (permanent) role you will require permanent work rights in Australia to be considered.

To learn more about this opportunity, please reach out to Simon Huband, Manager, Learning Analytics on [email protected].

About us
Our dynamic team sits within the Learning Innovation and Teaching Excellence Centre, which has an overall aim to foster excellence in learning and teaching.  We provide a range of resources, systems support and advice to help deliver effective and innovative programs. Achieved by ensuring excellence in teaching, offering quality in our programs, and providing an innovative, flexible learning environment that supports the student learning experience.
Our vibrant campus includes a gym, childcare, a medical centre, an art gallery, endless food options including a full-range grocer, beautiful gardens, end-of-trip facilities, good parking and excellent public transport connections.
For more information about our university, please visit www.curtin.edu.au
Join us!

Please provide a cover letter, and your CV to allow us to assess your suitability for this role.
To view a copy of the Position Description, please copy and paste the following link into your web browser.
https://cloudstor.aarnet.edu.au/sender/?s=download&token=20cbbfd5-84ff-484c-97f5-836dc286f535

Applications close: Tuesday 7 February 2023, 9pm AWST
 
Applicants should note that prior to appointment, you will need to have a current National Police Records check, undergo character, integrity, and reference checks. Please note that this position may be subject to a WA state government vaccination mandate. If requested, you will be required to provide evidence of your vaccination status prior to employment.

If you have any queries in relation to this application process, please contact our careers team on 08 9266 9000 (option 3,1).

Please note we are not accepting applications from recruitment agencies at this time.