Data Scientist
Fantastic opportunity for an experienced Data Scientist to join Swinburne University
Ongoing, full-time position at our vibrant Hawthorn campus
Attractive salary including 17% super and flexible/ hybrid options available
About the Role
Are you ready to make a meaningful impact in the world of education? Swinburne University is seeking a talented Data Scientist to join our team, reporting to the Associate Director of AI and Advanced Analytics. In this pivotal role, you will be a key contributor to our data-driven decision-making processes, with a focus on enhancing student success and institutional effectiveness.
As a Data Scientist, you will leverage advanced data science techniques to provide actionable insights that optimize student outcomes and support strategic initiatives across the university. Your ability to translate complex data into meaningful solutions will be vital in shaping educational strategies that positively impact students, faculty, and the broader academic community.
We are looking for an innovative thinker who can apply and adapt analytical techniques and technologies to meet evolving demands effectively. You will have the opportunity to build strong relationships with a variety of stakeholders, providing expert advice on complex issues and acting as a trusted business partner in analytics.
If you are passionate about using data to drive positive change in education and are ready to take on this exciting challenge, we invite you to apply for the Data Scientist position at Swinburne University.
Join us in shaping the future of student success and institutional excellence!
About You
To be suitable for this role you will need to have experience in the below key accountabilities:
- Knowledge of Machine Learning Algorithms, Predictive Analytics, Regression.
- Proficiency using languages such as SQL, Python and R and associated machine learning libraries.
- Experience with version control technologies such as GiT, GitHub, Mercurial, Subversion or similar.
- Experience providing visualizations of complex data.
- Experience in leveraging integrated data for development of business models and analytical applications aimed at improving business decision-making.
Qualifications
An undergraduate or post-graduate degree in Data Science, Statistics, Mathematics, Computer Science or related quantitative discipline.
About Swinburne University of Technology
Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship, and proud of it. We are committed to a differentiated university proposition in education and research, so that:
- Every Swinburne learner gets a work experience
- Every Swinburne graduate gets a job
- Every Swinburne partner gets a tech solution
- Swinburne is the prototype of global best practice
The achievement of our 2025 moon shots depends on our capacity to work collectively, always, as One Swinburne.
To Apply
Please submit your CV and cover letter addressing your suitability for this position.
To review the Position Description and to apply, please scroll down to the bottom of the page.
If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page.
Please Note: Appointment to this position is subject to passing a Working with Children Check.
If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on staffrecruitment@swin.edu.au.
Applications Close
Wednesday 16th October 2024 at 5pm.
Equity and Diversity
Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity, diversity and inclusion through key initiatives. For further information on all our initiatives visit our Equity & Diversity website.
We welcome and encourage applicants from diverse backgrounds to apply.
We are committed to making the recruitment process fair and equitable for all our candidates. If you have specific accessibility or support requirements, please contact inclusion@swin.edu.au.
Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.
For any support, please contact DeadlyCareers@swin.edu.au or for more information on our Indigenous strategies please follow the link to our RAP Reconciliation Action Plan.
Victoria’s Commitment to Action: Improving international student employment outcomes
As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.
We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant.
