Senior Data Scientist II
Tasks
- Build and scale data science solutions
- Communicate analytics with narratives and visualizations
- Deploy machine learning models to production
- Design and analyze user experiments
- Design build deploy causal models
- Design build deploy predictive models
- Develop experimentation and measurement frameworks
- Ensure compliance with GDPR and CCPA
- Establish metrics and analytical frameworks
- Implement privacy preserving data modeling
- Manage model lifecycle and performance
- Mentor peers in data science rigor
- Partner with product and engineering teams
- Quantify business impact of initiatives
- Validate ensure reproducibility and governance
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Apache Airflow | Apache Spark | Attribution Modeling | Automation | Bayesian Inference | CCPA | Causal Impact | Causal Inference | Causal impact analysis | Churn modeling | DBT | Data Governance | Experimental Design | GDPR | Hierarchical modeling | Impact analysis | Machine Learning | Model Validation | Personalization | Python | Reproducibility | Retention modeling | SQL | Snowflake
Education
Roles
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