Director, AI & Data Science (Marketing Measurement & Effectiveness)
135 W 26th Street, New York, NY 10001; Montréal, Quebec, Canada
R
USD 200K-200K Executive-level Full Time
Tasks
- Adapt measurement frameworks to privacy constraints
- Build and deploy genai and agentic applications in production
- Build statistical modeling architecture and validation
- Calibrate models using live experimental results
- Create automated model diagnostics and insight generation
- Define reusable measurement offerings and accelerators
- Design execute and interpret marketing experimentation and optimization
- Develop and deploy analyst copilots and conversational access to results
- Lead and develop data scientists and analysts across workstreams
- Lead marketing measurement and effectiveness programs
- Manage uncertainty and identification assumptions
- Own marketing mix modeling incrementality and attribution
- Provide executive grade communication to defend methodology
- Represent the company through white papers and conference talks
- Set delivery standards reproducibility documentation QA validation
- Shape solutions support proposals and scope new work
- Translate model output into budget allocation and media investment decisions
- Work with engineers to review code and unblock technical issues
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Attribution Modeling | Bayesian Methods | BigQuery | CRM | Causal Inference | Cloud Computing | Data Validation | Databricks | Experimentation | Forecasting | GenAI | Incrementality testing | Learning operations | Looker | MLOps | MLOps pipelines | Machine Learning | Machine Learning Operations | Marketing Mix | Marketing Mix Modeling | Marketing Optimization | Mix Modeling | Model calibration | Optimization | Power BI | Privacy-Constrained Measurement | Snowflake | Statistical modeling | Tableau
Education
Regions
Countries
States
Cities
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