Staff Data Scientist
Tasks
- Apply machine learning for recommendations and engagement
- Build adaptive experimentation models
- Build measurement and modeling frameworks
- Define technical strategy
- Design experiments and quasi-experiments
- Develop uplift and heterogenous treatment effect models
- Estimate incrementality and treatment effects
- Evaluate acquisition retention ROI and funnels
- Improve instrumentation and data quality
- Improve targeting personalization and segmentation
- Lead data science initiatives
- Mentor data scientists and analysts
- Operationalize reusable data science workflows
- Optimize lifecycle and audience strategy
- Translate analyses into recommendations
Perks/Benefits
- 401k matching
- Dental benefits
- Flexible time off
- Healthcare benefits
- Hybrid work support
- Learning and development programs
- Life insurance
- Mental health and wellness resources
- Parental leave
- Recognition programs
- Vision benefits
- Volunteering program
Skills/Tech-stack
A/B | A/B Testing | AI workflows | Adaptive experimentation | Airflow | Amplitude | Attribution Modeling | B testing | Budget allocation | Causal Inference | Causal measurement | Contextual Bandits | DBT | Data Analysis | Data Modeling | Data Quality | Databricks | Experiment design | Experimentation infrastructure | Forecasting | Git | Google Analytics | Growthbook | Heterogeneous treatment effects | Incrementality Measurement | Looker | Machine Learning | Media Mix | Media mix modeling | Mix Modeling | Multi-Arm Bandits | Multi-Touch Attribution | Multi-touch) | Optimization | Optimizely | Personalization | Python | ROI modeling | Recommendation Systems | SQL | Segmentation | Snowflake | Statistical inference | Tableau | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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