Responsibilities:
- Lead the technical design and hands-on delivery of advanced analytics and machine learning projects across multiple engagements.
- Own end-to-end analytics execution: problem framing, data exploration, feature engineering, model development, validation, and performance assessment.
- Act as technical authority on assigned projects, providing oversight, code and model reviews, and quality assurance.
- Translate complex business problems into clear analytical approaches and scalable solutions.
- Draft and own detailed analytics scopes, methodologies, and delivery plans for medium-to-large projects.
- Lead the development and delivery of Generative AI use cases, including prototyping, validation, and production-ready design.
- Evaluate and apply appropriate GenAI and ML techniques aligned with business value, data constraints, and governance requirements.
- Ensure analytical outputs meet quality, documentation, timeline, and budget expectations.
- Continuously improve analytics practices by introducing new methodologies, tools, and best practices.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.