• Apply data science and machine learning methodologies, with a strong focus on causal inference and statistics, to generate actionable insights for campaign planning, measurement, and optimization.

• Build, test, and maintain scalable data pipelines and analytical models.
• Summarize, visualize, communicate, and document analytics concepts, processes, and results for both technical and non-technical audiences.
• Collaborate with team members, stakeholders, and occasionally clients to define analytical objectives, approaches, and timelines.
• Lead projects with minimal oversight, establish expectations, ask the right questions, create project plans, and execute them independently.
• Develop machine learning models, perform SQL-based analysis, and contribute to automation initiatives.
• Design and automate AI/data pipelines that support recurring reporting, data transformation, prediction, measurement, and dashboarding workflows.