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Senior data scientist

Melbourne
Cloudapps Consulting
Data Scientist
Posted: 12 September
Offer description

Direct message the job poster from CloudApps ConsultingRecruitment Consultant - CloudApps Consulting Senior Data ScientistDrive advanced ML solutions in a leading organisation, leveraging Azure ML to deliver commercial outcomes across the business.Full-time, day-rate contract | Melbourne-basedExciting opportunity to drive ML delivery across commercial functionsWe are excited to partner with a well-known organisation and recognised leader in their industry to source an experienced Senior Data Scientist, based locally in Melbourne.
This is a fantastic opportunity to join a high-impact data team and play a key role in rolling out advanced Machine Learning initiatives across a complex, fast-paced commercial environment.The OpportunityOur client is a leader in their industry and is investing heavily in data science and AI to drive smarter, faster decision-making across the organisation.
As part of this investment, they're looking for a highly skilled Senior Data Scientist to build and deploy scalable ML solutions using Azure ML and MLOps frameworks.You'll work closely with business stakeholders and technical teams to identify high-value use cases, develop and iterate on ML prototypes, and deliver production-ready models that create measurable business outcomes.The RoleDesign, develop, and deploy end-to-end ML models using Azure ML, Pipelines, and Data FactoryBuild quick proof-of-concepts to demonstrate feasibility and refine solutions for productionCollaborate with stakeholders across commercial and technical teams to identify and prioritise business problems that can be solved with MLOwn the entire ML lifecycle from data preprocessing and feature engineering through to deployment, monitoring, and retrainingImplement scalable MLOps strategies including CI/CD, performance tracking, drift detection, and automated retrainingWork cross-functionally with data engineers and software developers to embed models into production systemsChampion ML best practices and reusable workflows across the broader teamThe Skills Required5+ years of hands-on experience in data science and ML model developmentExpertise in Azure ML and MLOps, with strong capability in feature engineering, model evaluation, and deploymentProven experience developing and iterating on ML prototypes to quickly validate business valueStrong understanding of CI/CD pipelines for ML and real-world deployment strategiesAbility to communicate complex technical concepts to both technical and non-technical stakeholdersPrevious experience in FMCG or supply chain industries are highly desirableFamiliarity with recommendation systems, time-series forecasting or geospatial analytics is a bonusA collaborative mindset with the ability to thrive in a fast-paced, iterative environmentIf you're ready to apply your ML expertise in a commercially impactful way and help lead the machine learning rollout across a major industry leader, APPLY NOW
For further information, please contact Fabian at our Melbourne office via Seniority level Seniority level Mid-Senior levelEmployment type Employment type ContractJob function Job function Analyst, Science, and ConsultingIndustries Transportation, Logistics, Supply Chain and Storage, IT System Data Services, and Data Infrastructure and AnalyticsReferrals increase your chances of interviewing at CloudApps Consulting by 2xGet notified about new Senior Data Scientist jobs in Melbourne, Victoria, Australia .
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