AI - Conversational AI Manager

As a Data Science Manager in the S&C GN team, you will be part of an innovative Data Science team specializing in the Contact Center domain. Dedicated to transforming customer interactions through data-driven intelligence, the team focuses on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Your key responsibilities will include: - Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. - Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics. - Conducting customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. - Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making. - Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. - Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. Qualifications required for this role: - PhD with 6+ years of relevant experience, OR - Masters degree with 8+ years of experience, OR - Bachelors degree with 11+ years of experience If you're passionate about applying data science to solve real-world customer experience challenges and want to work on cutting-edge AI and data science techniques with real-world impact in the contact center space, this opportunity is for you. Join us in transforming customer interactions and optimizing contact center operations through data-driven intelligence. As a Data Science Manager in the S&C GN team, you will be part of an innovative Data Science team specializing in the Contact Center domain. Dedicated to transforming customer interactions through data-driven intelligence, the team focuses on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Your key responsibilities will include: - Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. - Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics. - Conducting customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. - Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making. - Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. - Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. Qualifications required for this role: - PhD with 6+ years of relevant experience, OR - Masters degree with 8+ years of experience, OR - Bachelors degree with 11+ years of experience If you're passionate about applying data science to solve real-world customer experience challenges and want to work on cutting-edge AI and data science techniques with real-world impact in the contact center space, this opportunity is for you. Join us in transforming customer interactions and optimizing contact center operations through data-driven intelligence.