Lead Decision Scientist (Web)
Tasks
- Analyze consumer behavior across cohorts
- Architect web analytics roadmaps
- Build eCommerce data pipelines
- Conduct eCommerce conversion experiments
- Develop and refine reporting dashboards
- Develop metrics strategies for user and business outcomes
- Develop self service reporting workflows
- Establish causality with A B testing and causal inference
- Ground analysis in user motivations
- Identify full funnel drop offs and conversion opportunities
- Implement multivariate experimentation programs
- Monitor eCommerce KPIs and digital marketing metrics
- Stitch backend data for DTC reporting
Perks/Benefits
- 401k matching
- Company-paid days off
- Employee assistance program
- Flexible PTO
- Learning and development
- RRSP/DPSP plan
- Remote work
Skills/Tech-stack
A/B | A/B Testing | Adobe Analytics | B testing | Causal Inference | Cohort Analysis | DBT | Databricks | Difference-in-differences | Ecommerce analytics | Event instrumentation | Experimentation | Google Analytics | Google Analytics 4 | Google BigQuery | Google Tag | Google Tag Manager | Instrumental Variables | Multivariate Testing | Propensity Score Matching | Propensity score | Python | R | Regression discontinuity | SQL | Score Matching | Server Side | Server-side Tagging | Synthetic controls | Tag Manager | Tealium
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Decision Scientist | Lead | Lead Decision Scientist | Scientist
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