Data Scientist jobs in Victoria
- MegaportMelbourne VIC
- Strong data visualization and dashboarding capabilities.
- Support AI readiness initiatives through data quality analysis and modeling.
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- MutinexMelbourne VIC 3000
- You’re comfortable with messy data.
- You’ve worked in data science, applied statistics, analytics, ML operations or a related role and are comfortable working…
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- MutinexMelbourne VIC 3000
- You’re comfortable with messy data.
- You’ve worked in data science, applied statistics, analytics, ML operations or a related role and are comfortable working…
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- DataAnnotationOakleigh VIC
- Work from home
- Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical…
- BinanceMelbourne VIC
- Own the full LLM pipeline from data preparation to production real case usage.
- The successful candidate will develop and refine Large Language Models (LLMs) to…
- DoorDash ANZMelbourne VIC
- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business.
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- SynogizeSouth Melbourne VIC 3205
- Familiarity with data governance, ensuring data quality and security.
- Collaboration: Partner with data scientists, data engineers, and business stakeholders to…
- Endeavour GroupRichmond VIC 3121
- Joining a collaborative, innovation-led environment, you will shape the future of our data capabilities while turning complex insights into clear, actionable,…
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- EverseenMelbourne VICEverseen: A leader in vision AI solutions for the world’s leading retailers. Our Roles Does working with Everseen sound compelling? If so, we would love to…
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- Infosys Singapore & AustraliaMelbourne VIC
- Implement data governance, security, and compliance standards across data platforms.
- Develop and maintain data models, data warehouses, and lakehouse…
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- Curious CatRichmond VIC 3121
- Perform data quality assessments and implement data governance best practice.
- Understanding of data warehousing, ETL and data pipeline architecture.
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- Future Secure AIMelbourne VIC
- Set technical standards and best practices, mentoring and uplifting data scientists across all levels, raising the bar for scientific and engineering excellence…
- NTT DATAMelbourne VIC 3000
- Implement data integration solutions across cloud and on-premises data sources.
- Collaborate with architects, analysts, data scientists and business stakeholders…
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- AE CapitalSouth Yarra VIC 3141
- Software engineering — owning important components of our trading, data and infrastructure platforms.
- Quantitative development — building research platforms,…
- News CorpMelbourne VIC
- Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production.
- A hybrid and flexible approach to working.
- SynogizeMelbourne VIC 3000
- Data Quality & Governance: Maintain data accuracy through automated testing and data governance protocols.
- ETL Development: Collaborate with data engineers to…
Data Scientist
Job details
Full job description
The Role
Megaport is seeking an experienced and business-oriented Data Scientist to help scale advanced analytics and operational intelligence capabilities across the Revenue organization. This Data Scientist will partner closely with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership teams to improve forecasting, operational visibility, AI readiness, and data-driven decision making. This role will help build advanced analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, operational efficiency, and AI initiatives. The ideal candidate combines strong technical and analytical expertise with the ability to translate complex data into actionable business insights.
What You’ll Be Doing
- Develop predictive forecasting models and pipeline analytics frameworks
- Analyze sales productivity, customer behavior, operational efficiency, and revenue trends
- Build scalable dashboards, models, and operational intelligence solutions
- Partner with Revenue Operations and Finance teams to improve KPI governance and reporting consistency
- Support AI readiness initiatives through data quality analysis and modeling
- Collaborate with Data Engineering teams to improve GTM data architecture and integration quality
- Identify operational inefficiencies and recommend data-driven process improvements
- Develop analytical frameworks supporting marketplace, channel, and consumption-based business models
- Support executive decision making through advanced reporting and business analysis
- Assist with data governance, metric standardization, and forecasting transformation initiatives
- Build models supporting customer expansion, renewals, and churn analysis
What We Are Looking For
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5+ years of Data Science, Analytics, or Revenue Intelligence experience
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Strong SQL, Python, and statistical modeling expertise
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Experience working with large operational and sales datasets
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Experience building forecasting and predictive analytics models
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Strong data visualization and dashboarding capabilities
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Experience partnering with business stakeholders and executive teams
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Strong understanding of SaaS or technology business models
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Ability to translate technical findings into business recommendations
What We Offer
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Flexible working environments
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Birthday Leave, 12 weeks of parental leave (after 12 months continuous service), and 5 days of study leave.
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Creative, fun, and contemporary work environments
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Motivated team of industry experts and plenty of learning opportunities
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Celebrated success with internal awards programs
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Health and wellness program
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Generous performance bonus structure
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.