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Data Scientist jobs in Victoria

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    • Strong data visualization and dashboarding capabilities.
    • Support AI readiness initiatives through data quality analysis and modeling.
    • View all Megaport jobs - Melbourne jobs
    • Salary Search: Data Scientist salaries in Melbourne VIC
    • See popular questions & answers about Megaport
    • 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…
    • Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical…
    • 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…
    • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business.
    • Familiarity with data governance, ensuring data quality and security.
    • Collaboration: Partner with data scientists, data engineers, and business stakeholders to…
    • Joining a collaborative, innovation-led environment, you will shape the future of our data capabilities while turning complex insights into clear, actionable,…
  • Everseen: 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…
    • Implement data governance, security, and compliance standards across data platforms.
    • Develop and maintain data models, data warehouses, and lakehouse…
    • Perform data quality assessments and implement data governance best practice.
    • Understanding of data warehousing, ETL and data pipeline architecture.
    • Set technical standards and best practices, mentoring and uplifting data scientists across all levels, raising the bar for scientific and engineering excellence…
    • Implement data integration solutions across cloud and on-premises data sources.
    • Collaborate with architects, analysts, data scientists and business stakeholders…
    • Software engineering — owning important components of our trading, data and infrastructure platforms.
    • Quantitative development — building research platforms,…
    • Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production.
    • A hybrid and flexible approach to working.
    • Data Quality & Governance: Maintain data accuracy through automated testing and data governance protocols.
    • ETL Development: Collaborate with data engineers to…

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data analyst
Data Scientist
Melbourne VIC
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Hybrid work
Permanent, Full-time

Job details

Pay information not provided
Parental leave, Wellness program, Birthday leave
Permanent, Full-time
Hybrid work in Melbourne VIC

Full job description

About Megaport
We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.
Our Team Culture
We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.
We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.


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

  • 5+ years of Data Science, Analytics, or Revenue Intelligence experience

  • Strong SQL, Python, and statistical modeling expertise

  • Experience working with large operational and sales datasets

  • Experience building forecasting and predictive analytics models

  • Strong data visualization and dashboarding capabilities

  • Experience partnering with business stakeholders and executive teams

  • Strong understanding of SaaS or technology business models

  • Ability to translate technical findings into business recommendations

What We Offer

  • Flexible working environments

  • Birthday Leave, 12 weeks of parental leave (after 12 months continuous service), and 5 days of study leave.

  • Creative, fun, and contemporary work environments

  • Motivated team of industry experts and plenty of learning opportunities

  • Celebrated success with internal awards programs

  • Health and wellness program

  • Generous performance bonus structure

If you have any questions, please reach out to Megaport's Talent Acquisition Team at Careers@megaport.com
NOTE: All Megaport business correspondence is conducted via our business email accounts (@megaport.com). If you have any concerns, please reach out to Megaport's careers team careers@megaport.com directly and we will verify the legitimacy of any communication. Megaport will not ask you to create an account via Microsoft teams, and does not associate with any email accounts under "@megaportau.com".
All applications will be treated in confidence.
Please see Part 2 of our Privacy Policy to see what information Megaport collects from job applicants, why, and how we store and use it. Note that you’re entitled to know what personal data of yours Megaport holds, to request updates, rectification, and in some circumstances restriction or deletion thereof if you object (you being entitled to withdraw your consent to our holding your information at any time). Please see Part 5 of our Privacy Policy for more details on this and how to contact Megaport's data protection officer if you have any further privacy-related questions. Candidates who meet the selection criteria will be invited to attend an interview. Strictly no Recruitment Agencies.

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.

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