Senior Business and Marketing Data Scientist
Tasks
- Build multi-touch attribution models
- Collaborate with product and engineering stakeholders
- Communicate insights to senior executives
- Conduct brand lift studies
- Design experiments
- Develop audience segmentation models
- Develop brand measurement frameworks
- Develop marketing mix modeling
- Develop propensity models
- Generate evaluation metrics for large scale models
- Implement marketing analytics data science solutions
- Improve data pipelines
- Investigate data anomalies
- Translate business problems into investigative analytics
- Validate and analyze data
Perks/Benefits
- N/A
Skills/Tech-stack
Audience Segmentation | Bayesian statistics | Brand Lift | Cause analysis | Classification | Data Pipelines | Data Validation | Experimental Design | Geo-experiments | Machine Learning | Marketing Analytics | Marketing Mix | Marketing Mix Modeling | Meta-Analysis | Mix Modeling | Multi-Touch Attribution | Multi-touch) | Propensity Modeling | Python | R | Regression | Root Cause Analysis | Root cause | SQL | Statistical Analysis
Education
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