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