{"id":27385,"url":"https://alion.io/job/megaport-data-scientist","title":"Data Scientist","company":{"id":7367,"name":"Megaport","domain":"megaport.com","url":"https://alion.io/company/megaport","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brisbane, Australia","Sydney, Australia","Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":181000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-22T18:29:12Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-25T03:58:12Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":94},"description":"The Role\nMegaport 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.\nWhat You’ll Be Doing\nDevelop predictive forecasting models and pipeline analytics frameworks\nAnalyze sales productivity, customer behavior, operational efficiency, and revenue trends\nBuild scalable dashboards, models, and operational intelligence solutions\nPartner with Revenue Operations and Finance teams to improve KPI governance and reporting consistency\nSupport AI readiness initiatives through data quality analysis and modeling\nCollaborate with Data Engineering teams to improve GTM data architecture and integration quality\nIdentify operational inefficiencies and recommend data-driven process improvements\nDevelop analytical frameworks supporting marketplace, channel, and consumption-based business models\nSupport executive decision making through advanced reporting and business analysis\nAssist with data governance, metric standardization, and forecasting transformation initiatives\nBuild models supporting customer expansion, renewals, and churn analysis\nWhat We Are Looking For\n5+ years of Data Science, Analytics, or Revenue Intelligence experience\n\nStrong SQL, Python, and statistical modeling expertise\n\nExperience working with large operational and sales datasets\n\nExperience building forecasting and predictive analytics models\n\nStrong data visualization and dashboarding capabilities\n\nExperience partnering with business stakeholders and executive teams\n\nStrong understanding of SaaS or technology business models\n\nAbility to translate technical findings into business recommendations\n\nWhat We Offer\nFlexible working environments\n\nBirthday Leave, 12 weeks of parental leave (after 12 months continuous service), and 5 days of study leave.\n\nCreative, fun, and contemporary work environments\n\nMotivated team of industry experts and plenty of learning opportunities\n\nCelebrated success with 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