Senior Data Scientist II
Tasks
- Apply causal inference and Bayesian methods
- Build and deploy machine learning models
- Build data science solutions using scalable data platforms
- Collaborate with product and engineering teams
- Communicate insights with narratives and visualizations
- Define metrics and analytical frameworks
- Design and analyze user behavior experiments
- Design predictive models
- Develop experimentation measurement frameworks
- Ensure model validation reproducibility and governance
- Mentor peers and improve data science rigor
- Operationalize data products and intelligent systems
- Quantify business impact of product initiatives
- Support responsible AI and anomaly detection
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Spark | Bayesian Inference | CCPA | Causal Impact | Causal Inference | Causal impact analysis | DBT | Data Modeling | Experiment design | GDPR | Hierarchical modeling | Impact analysis | Machine Learning | Model Monitoring | Model Validation | Python | Reproducibility | SQL | Snowflake
Education
Roles
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