Melbourne, Victoria, Australia
Hybrid
Full-time, Continuing position
Salary $121,213 - $ 136,507 + 17% Superannuation and Flexible Working Arrangements
Based at the Melbourne CBD campus, and hybrid ways of working
About You
As a Senior Data Scientist in RMIT’s Data & Analytics team, you’ll lead the delivery of complex data science solutions that address high‑impact problems across the university. You’ll work end‑to‑end — shaping ambiguous problem statements, designing analytical approaches, and building advanced models and data products using statistical and machine learning techniques. Operating as a technical leader within cross‑functional teams, you’ll partner closely with stakeholders to ensure solutions are fit‑for‑purpose, trusted, and embedded into decision‑making, rather than one‑off analyses.
This role requires deep hands‑on expertise in advanced analytics, machine learning and production‑level data science, alongside strong capability in SQL, Python or R, and modern cloud data platforms. Unlike a Data Scientist role, this position carries greater accountability for solution design, technical standards, and quality, as well as responsibility for improving existing models, pipelines and methodologies across the team. You’ll be expected to coach and uplift other data scientists, contribute to enterprise‑wide best practices, and apply strong judgement when balancing technical rigour with real‑world constraints. We’re looking for a senior practitioner who is comfortable operating with autonomy, influencing through expertise, and delivering scalable, high‑value data science solutions.
To be successful in this position, you’ll have:
Agility in delivering work across the breadth of data & analytics services: data pipeline development, data cleansing and preparation, data analysis, report/dashboard development, ML feature selection, ML/AI model development
Knowledge of a variety of machine learning and artificial intelligence techniques (regression, statistical tests, text mining, decision tree learning etc) and proven experience of applying and evaluating machine learning techniques to solve business problems
Strong programming skills using tools such as SQL, Python/R, AWS Sagemaker
Demonstrated ability to coach and mentor junior staff members in the development of analytical skills and techniques
Working knowledge of Snowflake for querying and using curated data
Awareness of Snowflake Intelligence / Cortex concepts (e.g. agents, semantic views, semantic search)
Foundational knowledge of dbt for data transformation and analytics engineering
Experience with Git and version-controlled workflows
Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.
About the Group
Office of the Chief Data & Analytics Officer supports and enables RMIT’s business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for:
Developing and implementing RMIT’s data and analytics strategy and ensuring ongoing alignment with university
Defining requirements and standards for data and analytics technologies to be delivered by Information Technology
Coordinating and governing data management activities for analytics and reporting
Developing and coordinating advanced analytics capabilities to resolve key university challenges
To Apply
Please submit your CV and a covering letter clearly addressing your relevant experience, technical capabilities and alignment to the requirements of this position by clicking the ‘Apply’ link at the top of this page.
Position Description - Senior Data Scientist
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#LI-Hybrid
RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.
In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes. All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations.
At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.
We are a Circle Back Initiative Employer – we commit to respond to every applicant.
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