Job Description
Job Summary You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains. Job Objectives Develop and implement advanced predictive models to optimize customer experiences and other business outcomes. Analyze large and complex datasets to extract actionable insights and drive business decisions. Interpret results and provide actionable insights to guide real-time decision-making within the business context. Collaborate with cross-function...
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