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
- Automate model diagnostics and insight generation
- Build statistical model architecture
- Conduct geo lift analysis
- Deploy genai and agentic applications in production
- Design experimentation and marketing optimization
- Develop attribution models
- Handle uncertainty and identification assumptions
- Lead and develop data science teams
- Lead marketing measurement programs
- Manage parallel analytics workstreams
- Own marketing mix modeling execution
- Perform incrementality testing
- Present and defend methodologies to executives
- Represent company with white papers and talks
- Set QA documentation and validation standards
- Shape solutions and support proposals
- Translate model output into budget decisions
- Unblock technical problems in production
- Validate and calibrate models
- Work in client cloud environment
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Attribution | Bayesian Methods | Causal Inference | Cloud Computing | Databricks | Experimental Design | Experimentation platforms | Forecasting | GenAI | Google BigQuery | Incrementality | Looker | MLOps | Machine Learning | Marketing Analytics | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Model Validation | Optimization | Power BI | Snowflake | Statistical modeling | Tableau | Uncertainty Quantification
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
Data Science | Director | Director of Data | Director of Data Science
Regions
Countries
States
Cities
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