Senior Data Scientist

Role Overview: As a Data Scientist, you will be responsible for designing, developing, and deploying sophisticated machine learning models to solve complex business challenges. Your role will involve building and optimizing end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. Additionally, you will drive Generative AI initiatives, creating innovative products and solutions. Your work will also include conducting in-depth analysis of large, complex datasets to generate actionable insights and recommendations. Collaboration with cross-functional stakeholders to understand business requirements and deliver data-driven strategies will be a key aspect of your role. Key Responsibilities: - Design, develop, and deploy sophisticated machine learning models to solve complex business challenges. - Build and optimize end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Drive Generative AI initiatives, creating innovative products and solutions. - Conduct in-depth analysis of large, complex datasets to generate actionable insights and recommendations. - Work closely with cross-functional stakeholders to understand business requirements and deliver data-driven strategies. Qualifications Required: - Proficiency in writing clean, efficient, and maintainable code in Python and at least one other language (e.g., C#, Go, or equivalent). - Experience participating in code reviews, ensuring adherence to best practices and coding standards. - Awareness of the latest industry trends, tools, and technologies in Data Engineering, Data Science, and Generative AI. - Ability to document processes, models, and workflows to ensure knowledge sharing and reproducibility.,