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Data Science Leader
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- Responsible for owning and driving end-to-end delivery of machine-learning-based solutions to solve business problems in collaboration with business and technical stakeholders.
- Own machine-learning model development cycle (identification and definition of business questions, data preparation and manipulation, model implementation and optimization, and deployment).
- Design, implement, and optimize machine learning models, transforming data insights into practical and functional tools that drive value and competitive advantage.
- Collaborate with data engineering and quality teams to establish and maintain necessary infrastructure and data sets.
- Experience with machine learning techniques (regression, decision trees, random forests, support vector machines, neural networks, K-means, Naive Bayes, etc
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