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6 days ago Be among the first 25 applicantsDirect message the job poster from Kaizen Global TechnologiesKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applicationsKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Ability to dive deep into problem areas of Machine Learning and look for innovative technology solutions to not only advance the current state of solution, but also to generate new options that can provide significant strategic advantageMinimum 4 years of experience in developing and deploying Machine Learning, Deep Learning, NLP solutionsKey ResponsibilitiesUnderstand business processes and problems, and devise Machine Learning solutions to optimize workflows.Formulate machine learning solutions to improve business metrics, design features from large data sources, and train, evaluate, and deploy models in production.Develop high-performance algorithms for targeted applications, implement scalable, production-ready code, and collaborate with other teams to define interfaces and resolve dependencies.Technical SkillsBachelor''s or higher degree in computational science with an emphasis on Machine Learning.At least 4 years of experience writing production-quality code.Experience with traditional and modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and Ensemble Methods.Experience in end-to-end modeling projects originating from research efforts.Experience creating large data feature stores in Teradata or similar databases.Seniority levelAssociateEmployment typeFull-timeJob functionInformation TechnologyIndustriesBanking and IT Services and IT ConsultingReferrals increase your chances of interviewing at Kaizen Global Technologies by 2x.Get notified about new Data Scientist jobs in Sydney, New South Wales, Australia. #J-18808-Ljbffr