数据科学家
Data Scientist
关于Megaport
我们不是一家普通的科技公司——而且我们也不想成为。Megaport是网络即服务（NaaS）领域的全球领导者，改变了企业连接到云、数据中心和彼此的方式。我们在澳大利亚证券交易所上市，并与亚马逊、微软、谷歌、甲骨文、IBM等科技巨头建立了合作关系。总部位于布里斯班，员工超过600人，分布在亚太地区、欧洲和美洲，我们的员工在一个协作、支持且（真的）有趣的环境中工作。
我们的团队文化
我们是一群解决问题的人、像素调整者、代码编写者和云计算爱好者。在这里，文化不仅仅是墙上的海报——协作胜过层级，好奇心推动我们的成长，每个人的声音都很重要。我们认真对待工作，但不自以为是。我们跨越时区来实现我们的全球愿景，彼此信任完成任务，从不为了商业利益而妥协我们的价值观。最重要的是，我们将客户放在一切工作的核心。
我们致力于在科技行业增加多样性，欢迎所有背景的申请人。不符合所有要求？没关系。如果你对这个职位感兴趣，我们鼓励你申请。
职位描述
Megaport正在寻找一位经验丰富且具有商业意识的数据科学家，以帮助在收入部门扩展高级分析和运营智能能力。该数据科学家将与收入运营、数据工程、财务、系统和商业领导团队紧密合作，以改进预测、运营可见性、人工智能准备度和数据驱动决策。该职位将帮助建立支持销售运营、收入运营、预测、客户洞察、运营效率和人工智能计划的高级分析能力。理想的候选人结合了强大的技术和分析技能，以及将复杂数据转化为可操作业务见解的能力。
#DNI
如有任何问题，请联系Megaport的人才招聘团队，邮箱：Careers@megaport.com
注意：所有Megaport的商务通信均通过我们的商务邮箱账户（@megaport.com）进行。如果您有任何疑虑，请直接联系Megaport的招聘团队careers@megaport.com，我们将核实任何通讯的真实性。Megaport不会要求您创建账户
查看英文原文
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.
#DNI
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.
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