Manager, Data Science
Tasks
- Define metrics experimentation frameworks and measurement standards
- Develop scalable analytics processes and solutions
- Ensure data quality instrumentation and metric definitions
- Measure seller success using data science analysis and reporting
- Own business performance tracking using domain scorecards
- Partner with product and engineering to prioritize initiatives and remove bottlenecks
- Prototype and deliver AI enabled data products and tools
- Support product analytics strategy for M and A integrations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI tools | Amplitude | B testing | Behavior Analysis | Causal Inference | Competitive Intelligence | Customer Behavior Analysis | Customer behavior | Dashboards | Data Architecture | Data Instrumentation | Data Quality | Data Visualization | Experimental Methods | Experimentation Frameworks | Feature adoption | Funnel Analysis | Mixpanel | Product Analytics | Python | Quasi Experimental | Quasi-experimental methods | SQL | Semantic layers | Semantic metrics | Tableau
Roles
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