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Chief Data Strategist
4 weeks ago
Key Roles of a Data ScientistWe are seeking an experienced data scientist to join our AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms.Main Responsibilities:Develop Advanced Predictive Models: Design and implement models leveraging classical ML/statistical models, deep learning models, and modern AI techniques.Drive Innovation with AI Systems: Explore and develop novel applications for Large Language Models (LLMs), Generative AI, and Agentic AI systems.Build End-to-End Model Development Pipelines: Experiment, evaluate, and deploy models into production environments.Evaluate Performance and Reliability: Build evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.Develop Analytics and Visualization Frameworks: Support decision-making at scale by developing and optimizing advanced analytics and visualization frameworks.Collaborate on Scalability and Resilience: Work with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.Implement Trust and Explainability: Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.Optimize Model Performance: Continuously optimize model performance for scalability, efficiency, and real-world reliability.Implement MLOps and Deployment Best Practices: Implement CI/CD, automated workflows, model registry, versioning, and lifecycle management.Cross-Team CollaborationPartner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.