Senior Data Scientist

UNSW; Sydney; Vor Ort; AUD 119.000 - 145.000; Vollzeit

Benefits dieser Stelle

Flexible working options

Career development opportunities

17% Superannuation and leave loading

Extra leave over Christmas

Discounts and entitlements

Zusammenfassung

UNSW Sydney is seeking a Senior Data Scientist to join the Educational Data & Insights team in Kensington, NSW. The role focuses on leveraging advanced data science and AI to improve learning experiences through student feedback analysis.

You will work on myExperience reporting and develop thematic analysis tools and ML models, delivering evidence-based recommendations to academics and stakeholders.

Qualifikationen

• Tertiary qualifications in Computer Science/Statistics/Data Science or equivalent.
• Advanced programming in Python and SQL with data science libraries.
• Experience developing ML/GenAI models and evaluating them.
• Strong statistical analysis and justification of methods.
• Attention to data quality and exploratory analyses.
• Ability to structure complex problems and build data solutions.
• Experience with Azure Databricks and cloud data pipelines.
• Excellent written and verbal communication.
• Ability to manage competing priorities in a complex environment.
• Commitment to UNSW aims and policies.

Aufgaben

• Conduct rigorous experimentation, hypothesis testing, and deep dive exploratory analyses leveraging advanced statistics to enable our university to make the most of student feedback data and improve its student experience and education outcomes.
• Lead the development, evaluation and continuous improvement of high-impact Artificial Intelligence/Machine Learning tools and automations (in particular Thematic Analysis Solutions leveraging LLMs and transformers).
• Coach junior colleagues to help lift the broader analytics capability of the team: reviewing their methodology, analysis, code and results through peer reviews.
• Stay abreast of the latest advancements in Generative AI and data science, identifying opportunities for their application to contribute to our broader university strategy.

Kenntnisse

Python

SQL

ML / GenAI

Statistics

Data pipelines

Communication

Cloud analytics

Ausbildung

PhD preferred or relevant work in CS/Stats/DS/AI

Education/Psychology cross-disciplinary experience

Tools

Azure Databricks

Power BI

TensorFlow / PyTorch

scikit-learn

Jobbeschreibung

• Employment Type: Full Time (35 hours per week)
• Duration: Continuing
• Remuneration: Level 8 from $132k + 17% superannuation & leave loading
• Location: Kensington NSW

This Job is based in Australia

• Employment Type: Full Time (35 hours per week)
• Duration: Continuing
• Remuneration: Level 8 from $132k + 17% superannuation & leave loading
• Location: Kensington NSW

Why your role matters

The Senior Data Scientist holds a key role within the Educational Data & Insights team and is responsible for leveraging advanced data science and AI to ensure our university makes the most of student feedback to improve learning and teaching.

The Educational Data & Insights team at UNSW manages 2 major survey programs for the university. This includes the MyExperience course-level survey, as well as the Australia-wide and government-funded Quality Indicators for Learning and Teaching (QILT) program. These datasets combine quantitative and qualitative student responses and are paramount for UNSW to develop a greater understanding of its diverse students. The qualitative responses in particular represent an extremely rich dataset since they relate to learning and teaching: some of the most complex and multi-faceted experiences we undergo in our lives.

Working closely with our Manager – Educational Data & Insights, our Senior Analytics Engineer, our Research Data Scientist and our Educational Evaluation Specialist, this role is an incredible opportunity to develop and have a significant impact at one of Australia’s leading and most diverse universities. Focusing primarily on our myExperience Reporting Solution (one of the university’s most utilised data products) and leading the development of Thematic Analysis tools and Machine Learning models, this role delivers insights to highly engaged academics that are eager for rigorous, evidence-based recommendations.

Joining UNSW is your chance to work with leading data tools and technologies in an environment that offers flexible working arrangements and that invests in your development.

We are open to various skillsets and fields of study, with a focus on strong data science and programming skills. If you’re passionate about the role and bring transferable skills, we encourage you to apply.

• Conduct rigorous experimentation, hypothesis testing, and deep dive exploratory analyses leveraging advanced statistics to enable our university to make the most of student feedback data and improve its student experience and education outcomes.
• Lead the development, evaluation and continuous improvement of high-impact Artificial Intelligence/Machine Learning tools and automations (in particular Thematic Analysis Solutions leveraging LLMs and transformers).
• Coach junior colleagues to help lift the broader analytics capability of the team: reviewing their methodology, analysis, code and results through peer reviews.
• Stay abreast of the latest advancements in Generative AI and data science, identifying opportunities for their application to contribute to our broader university strategy.

Essential

About You

• Tertiary qualifications in a relevant discipline (s.a. Computer Science, Statistics, Data Science, AI, Computational Linguistics, etc.) or demonstrated relevant work experience. A PhD would be highly regarded. We are also highly interested in individuals who have worked at the crossing of programming/data science and Education, Psychology and Social Sciences or have direct teaching experience.
• Advanced Programming Skills (Python, SQL) including experience with Python data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• Demonstrated experience in the development, deployment, evaluation and continuous improvement of Machine Learning and GenAI models.
• Demonstrated advanced understanding of statistical analysis and machine learning with the ability to justify methods, not just run models.
• High attention to detail with the ability to assess and document data quality, as well as a track record of conducting data investigations and exploratory analyses.
• Ability to handle complexity and bring structure: confident in breaking down complex problems, developing strong data architecture, building solutions from scratch, and working with limited direction.
• Experience maintaining data pipelines, working with cloud-based analytics platforms such as Azure Databricks.
• Excellent written and verbal communication skills with the ability to communicate complex concepts to diverse audiences.
• Demonstrated ability to manage competing priorities and deliver high-quality outcomes in a complex environment.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.

Desirable

• Experience with Power BI or similar business intelligence platforms.
• Experience with Power Platform automation, workflows and Copilot Studio agents.
• A genuine interest in understanding the specificities of teaching and learning evaluation and of the role of student feedback data.
• Knowledge of responsible AI practices, data governance and ethical use of data and AI technologies.

Benefits And Culture

People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world.

Our Benefits Include

• Flexible working options.
• Career development opportunities.
• 17% Superannuation contributions and additional leave loading payments.
• Additional 3 days of leave over Christmas period.
• Discounts and entitlements (retail, education, fitness).

For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits

Pre-Employment Checks

As part of our recruitment process candidates may be required to undergo pre-employment screening, which may include reference checks, qualification verification, right-to-work verification, and criminal history screening where relevant to the role.

Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.