Senior Data Science

Job Description

Principal Accountabilities (Add Rows as needed) Advanced Data Science & AI Implementation Develop and apply cutting-edge machine learning techniques such as ANN, XGBoost, and deep learning models to solve complex business problems. Ensure the use of state-of-the-art AI frameworks and methodologies to enhance model accuracy, efficiency, and scalability. Optimize AI models by fine-tuning hyperparameters, feature engineering, and advanced algorithm selection to maximize performance. End-to-End Solution Development Oversee the full AI project lifecycle, from data preparation and model development to deployment and monitoring. Ensure smooth integration of AI solutions into production environments, collaborating with engineering teams for scalable deployments. Use project management tools like JIRA to track tasks, deadlines, and progress, ensuring structured execution of AI initiatives. Maintain a structured framework for model versioning, documentation, and reproducibility to ensure long-term sustainability. Experimentation & Continuous Improvement Implement a systematic experimentation approach to identify gaps in current AI models and refine them iteratively. Conduct A/B testing, error analysis, and post-deployment monitoring to assess model effectiveness and business impact. Drive an innovation-first mindset, experimenting with new algorithms and methodologies to improve existing solutions. Establish a feedback loop between model performance and business outcomes, ensuring AI-driven insights remain relevant and impactful. Technical Leadership & Best Practices Enforce best practices in coding, model documentation, and version control to enhance standardization across AI initiatives. Ensure teams stay updated with emerging AI/ML methodologies and provide structured guidance for integrating new techniques. Act as a mentor to junior data scientists, providing hands-on guidance while establishing technical excellence within the team. Cross-Team Collaboration & Stakeholder Management Ensure seamless integration of AI solutions into business workflows. Lead discussions with stakeholders to align AI initiatives with operational priorities and measurable outcomes. Standardize communication channels to ensure clarity, accountability, and alignment across teams. Scalable AI Solutions & Reusability Drive the standardization of AI solutions to enable their scalability and adaptability across multiple business functions. Develop reusable AI frameworks, ensuring consistency and reducing redundancy in data science efforts. Establish best practices for documenting and sharing AI learnings across teams, improving operational efficiency and knowledge transfer.

Required Skills

[Python]

Additional Information

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