Lead and influence the development of innovative data products from conception to operationalization to help; Create best-in-class statistical models and algorithms including but not limited to incrementality and marketing mix modeling; Develop processes to monitor implementation outcomes and analyze model performance; Keep yourself up to date and become the main reference point for new research and state-of-the-art models; Guide the team and foster algorithms’ scalability to provide business value
Requirements:
5 + years of experience in data science building and deploying machine learning models (XGboost, Light GBM. Random Forest, Time Series forecasting etc. ); Experience with advanced analytics for Marketing including but not limited to marketing budget optimisation, MMM, attribution, bidding automation, A/B testing, lift test or geo test); Expertise in delivering and maintaining production-level data science projects (from prototyping, to maintaining and improving production-ready solutions); Familiar with SDLC processes (JIRA, Github, test automation, deployment automation etc)
Text:
Machine Learning Lead Lead and influence the development of innovative data products from conception to operationalization to help; Create best-in-class statistical models and algorithms including but not limited to incrementality and marketing mix modeling; Develop processes to monitor implementation outcomes and analyze model performance; Keep yourself up to date and become the main reference point for new research and state-of-the-art models; Guide the team and foster algorithms’ scalability to provide business value 5 + years of experience in data science building and deploying machine learning models (XGboost, Light GBM. Random Forest, Time Series forecasting etc. ); Experience with advanced analytics for Marketing including but not limited to marketing budget optimisation, MMM, attribution, bidding automation, A/B testing, lift test or geo test); Expertise in delivering and maintaining production-level data science projects (from prototyping, to maintaining and improving production-ready solutions); Familiar with SDLC processes (JIRA, Github, test automation, deployment automation etc)
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