Senior Data Scientist

About the Role:

The Senior Data Scientist is responsible for designing, developing, and delivering advanced Artificial Intelligence and Agentic AI solutions that address complex business challenges and enhance customer experiences. This role combines expertise in Data Science, Machine Learning, Generative AI, and software architecture to deliver scalable, production-ready AI products and platforms.

The position serves as a senior technical contributor who collaborates across Product, Engineering, Data, and Business teams to define solution strategies, drive implementation, and ensure successful delivery of AI-enabled capabilities. The role requires strong technical depth, business understanding, architectural thinking, and the ability to independently lead large and complex initiatives from concept through production deployment. This aligns with your demonstrated work on AI architecture, product specifications, performance engineering, and agent-based solutions.

Key Responsibilities:

• Design, develop, and deploy scalable AI, Machine Learning, Generative AI, and Agentic AI solutions, including intelligent assistants, copilots, conversational systems, and enterprise-grade AI products that solve complex business problems and deliver measurable value.

• Translate business requirements into scalable AI architectures and technical solutions by defining solution designs, integration strategies, technical specifications, data flows, and implementation approaches while ensuring alignment with security, governance, reliability, maintainability, and responsible AI standards.

• Develop, evaluate, and optimize AI and machine learning models and platforms, establishing testing frameworks, performance metrics, monitoring, observability, and production-readiness practices to improve accuracy, scalability, efficiency, and business impact.

• Lead end-to-end delivery of AI initiatives by driving solution development, deployment, operationalization, troubleshooting, continuous improvement, enterprise integrations, and collaboration with engineering teams to build scalable data pipelines and AI workflows.

• Partner with Product Managers, Engineering teams, and business stakeholders to define product capabilities, technical requirements, roadmaps, and best practices while providing technical leadership, influencing architectural decisions, and effectively communicating complex concepts to technical and non-technical audiences.

Required Qualifications:

• Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related field.

• 8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or software development.