Senior Data Scientist

Job Summary The Manager-Data Science role is pivotal in driving the companys data-driven strategies and solutions. With a focus on leveraging cloud technologies and AI/ML concepts the candidate will lead initiatives that enhance operational efficiency and innovation. This role requires a blend of technical expertise and strategic thinking to deliver impactful data science projects in a hybrid work model. Responsibilities Lead the design and implementation of data science solutions using cloud technologies to drive business innovation and efficiency. Oversee the development and deployment of AI and ML models ensuring they align with company objectives and industry standards. Collaborate with cross-functional teams to integrate data science solutions into existing systems and processes. Provide technical guidance on cloud security models and services to ensure data integrity and compliance. Develop and maintain scalable cloud infrastructure to support data science initiatives. Utilize deep learning techniques to enhance predictive analytics and decision-making processes. Implement generative AI solutions to create innovative products and services that meet customer needs. Ensure the effective use of Python and other programming languages in developing data science applications. Monitor and evaluate the performance of AI/ML models making necessary adjustments to improve outcomes. Facilitate knowledge sharing and training sessions to promote data science best practices within the organization. Drive transformation projects by applying AI and ML concepts to optimize business processes. Collaborate with project and program management teams to ensure timely delivery of data science projects. Stay updated with the latest advancements in AI and cloud technologies to maintain a competitive edge. Qualifications Possess extensive experience in cloud solution architecture and cloud security models. Demonstrate proficiency in cloud infrastructure and concepts across AWS GCP and Azure. Exhibit strong skills in deep learning and generative AI applications. Have a solid understanding of AI and ML concepts particularly in agentic AI. Experience in project and program management is a plus. Familiarity with transformation and PMO practices is advantageous. Certifications Required AWS Certified Solutions Architect Google Professional Cloud Architect Microsoft Certified: Azure AI Engineer Associate