Role & Responsibilities :

- Leading data modeling workstreams for client engagements and aligning deliverables with business needs.

- Guiding teams in designing conceptual, logical, and physical data models for analytics and reporting solutions.

- Developing data structures that support statistical analysis, machine learning, and predictive modeling use cases.

- Reviewing source systems and datasets to identify relationships, dependencies, and data quality gaps.

- Translating business requirements into scalable data architecture and modeling approaches.

- Managing project scope, timelines, and deliverables across multiple client priorities.

- Coaching team members on data science methods, modeling techniques, and technical problem-solving.

- Applying programming, data engineering, and visualization tools to support model development and presentation of insights.

What Sets You Apart :

- Preference for at least one of the following fields of study : Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering.

- Demonstrating experience in data modeling, analytics, or data science projects.

- Applying knowledge of data architecture, pipelines, and model design.

- Leading project workstreams, mentoring team members, and reviewing deliverables.

- Translating complex data findings into client-ready recommendations and actions.

- Using Python, SQL, or visualization tools in delivering analytics solutions.

- Collaborating across teams while navigating ambiguity and shifting priorities.