Data Scientist

The Data Scientist f is a key contributor to the advancement of data-driven decision-making and operational efficiency across the client's business units. This role requires a unique combination of analytical prowess, technical expertise, and business acumen. The successful candidate will be responsible for executing data science initiatives, contributing to consultations, performing feasibility assessments, and establishing support and monitoring paradigms for supporting AI processes within the client's data domain. Key Responsibilities:

AI/Machine Learning Use Case Identification:Analyze data to identify and develop AI/Machine Learning use cases aligned with business objectives. Stay current on emerging AI/Machine Learning technologies, educating the team on their applications and optimal leverage. Algorithmic Innovation and Model Improvement:Devise innovative algorithmic approaches to address complex quantitative problems using large-scale enterprise data. Train, validate, and optimize machine learning models for various use case needs. Adopt new tools and algorithms effectively to enhance model performance. AI Development Framework and MLOPS Deployment:Develop and implement an the internal AI development framework within the the internal Governance Committee, emphasizing MLOPS practices for seamless model deployment to the cloud. Provide training on the framework, enabling effective change management to monitor and enhance model performance. Collaborate with cross-functional teams to provision ETL processes and establish CI/CD pipelines for continuous model deployment and updates. Documentation and Reporting:Complete comprehensive documentation and statistical system documentation to communicate results effectively. Collaboration and Mentoring:Collaborate with end-users to identify data management and analytical solution needs, fostering improved data-driven decision-making. Mentor team members to enhance their skills and abilities.