Top Data Science Jobs in Melbourne

Manage and scale a 24/7 Security Operations Center by defining processes, shift coverage, training, and playbooks. Drive analyst development in forensics, IR, malware analysis, detection engineering, and threat hunting. Coordinate with Product, Support, and cross-functional stakeholders to operationalize new capabilities, maintain QA, report on OKRs, and contribute to public-facing engagements.

The Head of Data will lead the data organization, define the company-wide data strategy, ensure high-quality decision making, collaborate across teams, mentor leaders, and establish best practices in data governance and execution.

The nbn Graduate Program offers recent graduates the opportunity to work on Australia's digital infrastructure through hands-on experience over two years with rotations in various disciplines.

The Account Executive will drive sales through prospecting and closing new business in enterprise markets, focusing on technical solutions and customer value.

The Senior Analyst will use data and analytical techniques to solve business challenges, create dashboards, communicate insights, and partner with teams to enhance product features and operational processes.

Drive ANZ revenue by generating new enterprise business and expanding strategic accounts. Sell complex HR, L&D, and analytics solutions to C-suite buyers, lead multi-stakeholder deals, forecast and manage pipeline, collaborate cross-functionally, and represent the company at industry events. Support workforce planning and HR transformation initiatives and travel across APAC as required.

Lead the superannuation and wealth portfolio, ensuring commercial and delivery success of client engagements. Build C-suite relationships, drive business development, shape AI-driven propositions, manage proposals/pricing, and grow a high-calibre team while implementing AI-enhanced analytics solutions.

Lead product strategy and roadmap for Compass, an in-store navigation and personalization product. Collaborate with engineering, data science, design, and analytics to define data models, optimize recommendation models, run experiments (A/B, DiD), and deliver personalized experiences that improve associate and customer item discovery and business metrics.

Lead a multidisciplinary engineering team building next-generation conversational and semantic search capabilities. Drive technical direction, delivery, operational excellence, LLM integration, evaluation-driven development, and cross-functional collaboration to scale AI-powered search systems.

Build and improve a platform that ingests smart-meter time series data, models household energy consumption, simulates battery performance, and prioritises features that drive revenue. Work across backend (Python/Clojure), frontend (TypeScript), time-series databases, and classical ML models to deliver production-ready analyses and experiments; collaborate with founder, UX specialist, and overseas developers; possibly manage a contractor.

Build and improve backend and data pipelines to fetch and analyze smart meter time-series data, develop classical ML models to size batteries, prioritize features that drive revenue, and collaborate with founder, UX, and contractors to ship experiments rapidly.

Lead marketing analytics for a high-growth SaaS company: build attribution frameworks, develop channel and program metrics, create dbt data models, deliver dashboards and deep-dive analyses, and connect marketing investment to pipeline, ARR, and payback for stakeholders across marketing, finance, and executives.