Data Scientist

Monash University

Committed to the highest quality in teaching, learning, research, and a wide range of professional and community activities.

Monash University is Australia’s largest and most international university. Its extensive educational offering, delivered via our 10 faculties, includes undergraduate, postgraduate and research courses. Monash is a research-intensive university, known for some significant and lasting discoveries that have delivered impact beyond the academic community.

The Opportunity The Data Scientist at the Australia Research Council Centre of Excellence for the Elimination of Violence against Women (CEVAW) plays a vital role in analysing and visualizing statistical data to support research on violence against women. They provide advanced analytical services, consult with investigators, conduct comprehensive research and modelling, and propose innovative solutions. Responsibilities also include developing the centre’s web-based platform, managing statistical datasets, improving data analysis capabilities, and identifying and implementing new analytical processes to meet CEVAW's needs and enhance operations.

As the successful candidate, you'll bring expertise in gender statistics and data analysis, proficiency in data visualization, and managing large datasets. Problem-solving skills and experience in experimental validation and advanced analytics are crucial. You will possess substantial quantitative research and statistical analysis experience as well as business analysis techniques and strong planning skills. Excellent relationship management and communication skills are essential for engaging stakeholders and presenting complex information effectively.

**About Us ** The Australia Research Council Centre of Excellence for the Elimination of Violence against Women (CEVAW) is the world’s first Centre to tackle the full range of forms of violence against women (VAW) in Australia and the Indo-Pacific region. CEVAW aims to transform our understanding of the problem of VAW by examining the socio-structural drivers that cause and compound it, and pioneering new, evidence-based approaches to inform trajectory-altering practice and policy. CEVAW will generate fundamental knowledge on the causes and contexts in which violence occurs and the most effective and efficient responses. This interdisciplinary research will be data-driven, Indigenous-centred and co-designed with partners. CEVAW brings together over 40 world-leading experts to develop scalable approaches to eliminate VAW across the legal, security, economic, health, and political systems of Australia and the region. Headquartered at Monash University, CEVAW comprises 13 chief investigators at six Australian institutions and 45 partner organisations and over 100 HDR students and postdoctoral fellows. By building strategic and strong partnerships with Australian and international research institutions and partner organisations, CEVAW will translate research into innovative tools and strengthened capacity to drive the elimination of violence against women. With almost $50M investment from the ARC and contributing organisations, CEVAW is poised to make a significant, global impact.

At CEVAW, we are committed to fostering an inclusive, safe and supportive environment free from discrimination and marginalisation that upholds the principles of respect, equity, and inclusion. We are committed to research that is anti-colonial and a policy of zero tolerance of racism, homophobia, transphobia, misogyny and all forms of bullying and harassment. Aboriginal and Torres Strait Islander people are strongly encouraged to apply for all positions.

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  Data Cleaning and Preparation

  Extract and clean data ready to use in analysis or to users

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  Data Analysis and Reporting

  Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions

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  Data Management and Visualization

  Create and maintain the organization’s Business Intelligence tools, and present complex data in simple, visual ways for key stakeholders

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  Learning agility

  Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities

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  Numerical problem solving

  Works with numerical information and performs mathematical calculations to solve problems

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  Attention to detail

  Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables