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The candidate should also be comfortable guiding team members and working closely with engineering and client stakeholders.\nResponsibilities:\nAnalyse complex datasets to identify patterns, issues, and opportunities.\nFormulate and validate hypotheses through structured analysis and experimentation.\nBuild and improve machine learning and anomaly detection solutions.\nDesign end-to-end solutions considering data, modelling, engineering, and production constraints.\nPerform root cause analysis across models, data, and systems.\nWork with engineering teams on feature pipelines, model inference, and production deployment.\nLead technical discussions with clients and communicate recommendations, trade-offs, and expected impact.\nGuide team members on analysis, modelling, and solution design.\nProactively identify initiatives and roadmap items that can add value to the project.\nRequirements:\nStrong foundation in statistics and machine learning.\nStrong hands-on experience with Python and 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