Engineering: Growth Data Products - Staff Data Scientist
Tasks
- Align squads and stakeholders
- Build customer lifetime value models
- Build marketing attribution models
- Collaborate cross-functionally
- Create technical roadmaps
- Define data products
- Deploy machine learning services
- Design A/B tests
- Design machine learning pipelines
- Develop data products
- Implement code quality standards
- Improve observability
- Monitor production machine learning
- Own data products
- Perform causal inference analysis
Perks/Benefits
- Discounts on activities
- Fitness budget
- Health and wellness benefits
- Hybrid work
- Language reimbursement program
- Mentorship programs
- Personal growth budget
- Transportation budget
- Work from anywhere
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Apache Spark | Attribution Modeling | B testing | CI/CD | CRM | Causal Inference | Databricks | Feature Store | Kubernetes | MLflow | Machine Learning | Marketing Analytics | Paid Search | Python | SQL | Snowflake | Statistical Testing
Education
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