Principal Data Scientist, Marketing Analytics
Tasks
- Apply and operationalize enterprise data science capabilities
- Apply machine learning for marketing decision support
- Bridge marketing analytics and enterprise data science teams
- Build analytics automation frameworks
- Build forecasting and predictive models
- Connect cloud data sources
- Define marketing analytics roadmap
- Design scalable marketing analytics solutions
- Develop marketing measurement and experimentation solutions
- Develop proof of concepts for AI use cases
- Implement APIs and data shares
- Implement marketing analytics engineering best practices
- Improve reliability and usability of marketing data assets
- Lead marketing data integrations and onboarding
- Manage and mentor data science analyst
- Manage clean room data integrations
- Operationalize data products
- Partner on governance architecture and technical standards
- Perform attribution and incrementality testing
- Promote knowledge sharing and reusable approaches
- Shape team processes and operating model
Perks/Benefits
- 401k match
- Dental
- Disability
- Medical
- Mileage reimbursement
- Paid parental leave
- Paid time off
- Tuition reimbursement
- Vision
Skills/Tech-stack
APIs | AWS | Attribution | Azure | Clean rooms | Cloud platform | Customer Data | Customer Data Platform | Data Modeling | Data integration | Data platform | Databricks | Experimentation | Forecasting | Generative AI | Google Cloud | Google Cloud Platform | Identity resolution | Incrementality testing | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Marketing Technology | Mix Modeling | Predictive Modeling | Python | SQL | Snowflake | Statistical modeling
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
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