> Markdown version of [/jobs/ext/2704148-data-scientist](https://www.wearedevelopers.com/jobs/ext/2704148-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Talent & Acquisition LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software as a Service, Data Architecture, Information Engineering, Data Governance, Data Visualization, Decision Support Systems, Python (Programming Language), Standard Sql, Data Analytics - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-scientist-megaportnetwork-8792958 ## About the Role * 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 ## Description 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, 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Building Talent Acquisitions Teams](https://www.wearedevelopers.com/videos/1496-building-talent-acquisitions-teams) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)