Manager, Data Science (Product Analytics)
Tasks
- Build scalable data products with data engineering and experimentation platform teams
- Define product health metrics and reporting
- Design experimentation frameworks and measurement systems
- Develop dashboards, reports, and visualization tools
- Lead data science team delivery of product analytics insights and reporting
- Mentor statistical thinking data storytelling and stakeholder communication
- Oversee quantitative analysis production for product strategy and impact measurement
- Partner with product managers engineers and research teams for data informed decision making
Perks/Benefits
- Continuous learning
- Flexible work structure
- Inclusive Mission Driven Work Environment
- Mentorship
- Professional growth
- Remote-first work model
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | Apache Superset | B testing | Behavior Analysis | Dashboards | Data Engineering | Data Visualization | Experimental Design | Experimentation | Growthbook | Hadoop | Hive | Measurement systems | Presto | Product Analytics | Statistics | User Behavior | User Behavior Analysis
Education
N/A
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