Data Science Principal
California - San Francisco, United States
USD 197K-313K Senior-level Full Time
Tasks
- Build predictive models for growth drivers
- Collaborate with product and GTM teams on roadmaps
- Communicate insights to executive stakeholders
- Conduct causal inference analyses
- Create segmentation frameworks
- Design measurement strategies and success metrics
- Develop Slack monetization insights
- Develop forecasting analyses
- Enable scalable analytical foundations
- Lead data science strategy for monetization
- Partner with Data Engineering on trusted datasets
- Perform statistical analysis for customer behavior
- Run experimentation and A B testing
Perks/Benefits
- 401k
- Employee stock purchasing program
- Life and disability insurance
- Medical/Dental/Vision insurance
- Mental health support
- Paid parental leave
- Time off programs
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | B testing | Causal Inference | Distributed data | Experimentation | Forecasting | Hadoop | Hive | Predictive Modeling | Presto | Python | R | SQL | Scala | Segmentation | Spark | Statistics
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
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