Senior Data Science Analyst
Core
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.
Role type
Senior IC data science analyst (causal inference & ML)
Builds
scalable data pipelines, analytical models, and automated AI/data workflows
Domain
Media, Data, Technology, Commerce
Deliverable
production ML models
Required skills
causal inference, statistical analysis, econometric modeling, machine learning, SQL, Python
Preferred skills
Google Cloud Platform (BigQuery, Data Studio/Looker Studio, Dataproc)
Responsibilities
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
