Staff Data Scientist, Growth Data Products
Tasks
- Align squads and stakeholders
- Build machine learning pipelines
- Collaborate cross-functionally
- Define data products
- Deploy machine learning pipelines
- Design A B test experiments
- Develop customer lifetime value models
- Develop data products
- Develop marketing attribution models
- Implement observability
- Improve experimentation frameworks
- Monitor production machine learning
- Own data products
- Perform causal inference analysis
- Raise code quality standards
- Translate growth strategy into technical roadmap
Perks/Benefits
- Discounts on company activities
- Fitness budget
- Health and wellness benefits
- Hybrid work arrangement
- Language reimbursement
- Mentorship programs
- Personal growth budget
- Transportation budget
- Work from anywhere
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Apache Spark | B testing | CRM | Causal Inference | Databricks | Feature Store | Kubernetes | MLflow | Machine Learning | Marketing Analytics | Marketing attribution | Online Experimentation | Paid Search | Production Machine Learning | Python | SQL | Snowflake | Statistical Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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