Data Scientist (Academic Integrity)

Job no: 0061617
Location: Parkville
Role type: Full-time; Fixed-term for 12 months
Department: Operational Performance Group
Salary: UOM 7 – $102,338-$110,780 p.a. plus 17% super

• Apply various data analysis techniques to uncover new indicators of misconduct
• Safeguard academic integrity for the university
• Brilliant benefits and a flexible hybrid work environment! 

About the Role
This presents an exciting opportunity for an experienced Data Scientist to support the Academic Integrity Office. In this important role, you will utilise your expertise to identify patterns and anomalies in data to support the detection of student academic misconduct. With a minimum of 3 years' experience, you will apply various statistical and data analysis techniques, source new data, conduct feature engineering and experimentation to uncover new indicators of misconduct and support university investigation capabilities. Additionally, you will collaborate with other members of the data team to transition features into a production environment, ensuring they are accessible for use in downstream Decision Support Tools.

This role offers valuable experience working with senior stakeholders and across multi-disciplinary teams, contributing significantly to safeguarding the academic integrity of the University of Melbourne.

Your responsibilities will include:

• Analyse new and existing data sources to assess their applicability to address the business issue.
• Extract and manipulate data from a variety of sources and subsequently cleanse, standardize, scale, bin, categorise, tokenise, stem and transform it into a state suitable for further analysis.
• Determine whether a given problem can be usefully addressed with analytical techniques and, if so, what further information or data is required to make this possible.
• Present data findings to stakeholders and make recommendations.
• Workshop potential indicators with stakeholders and test viability

Who we are looking for
We are seeking an experienced data scientist who possesses creativity and forward-thinking abilities to confidently collaborate with our stakeholders and identify patterns. The ideal candidate should be flexible, self-directed, and an excellent communicator capable of explaining complex data and patterns to non-technical senior stakeholders.

You will also have:

• 3+years experience in Data Science, preferably in Fraud analytics
• A sound understanding of statistical and analytical modelling methodologies, techniques, tools and platforms
• Demonstrated experience in the design, development and implementation of predictive risk models
• Experience with a range of languages/tools/datastores that could include: R, SQL, Python, Git, Snowflake, AWS, PowerBI.

For further information regarding responsibilities and requirements please refer to the attached PD.

Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.

Your new team – Operational Performance Group and University Decision Support (UDS)
The Operational Performance Group delivers functions that facilitate the design, evaluation, and improvement of services across the University, and business partnering services to Chancellery.

The University Decision Support function provides the University with a high-quality data asset, reporting and analytical services to support the corporate function, assist students to successfully obtain an education and to facilitate the effective delivery of University based research. You will be working closely with the Academic Integrity Office, being embedded in Scholarly Services and also UDS across your working week.

What we offer you!
In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits including generous leave provisions, salary packaging, health and well-being services, and discounts on graduate courses. For more information check out our benefits  page!

The University of Melbourne
We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website  and stay connected with our stories and people on LinkedIn .   

Be yourself
The University of Melbourne values the unique backgrounds, experiences, and contributions that each person brings to our community and welcomes and celebrates diversity.  First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities, and genders, and people of diverse ethnicity, nationality, and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion  page.

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact Kim Groizard at [email protected] , with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".

Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture, and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.

For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring

Join Us!
If you feel this role is right for you, please apply with the following documents: 

• Resume
• Cover Letter outlining your interest and experience

Please note that you are not required  to respond to the selection criteria in the Position Description.

If you have any questions regarding the recruitment process, please feel free to contact Ivanka via email at [email protected] , ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.

Applications close: Monday 19 February 2024 11:55 PM Australian Eastern Daylight Time (AEDT)

Position Description:  Data Scientist(Academic Integrity)_OPG Jan 2024.pdf

Position Description