Senior Data Scientist
Tasks
- Communicate insights to stakeholders
- Conduct causal analysis
- Define success metrics
- Design data science experiments
- Develop predictive models
- Document analyses
- Engineer features
- Evaluate and iterate predictive models
- Execute A/B tests
- Improve analytical standards
- Improve data quality
- Investigate data drift
- Maintain reproducibility and reliability
- Mentor team members
- Monitor model performance
- Perform code review
- Perform offline evaluations
- Present results
- Productionize models and analytics
- Validate models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Bias Variance | Bias-Variance Tradeoff | BigQuery | Causal Inference | Classification | DBT | Data Drift | Data Quality | Feature Engineering | Feature Stores | Hypothesis Testing | MLOps | Machine Learning | Model Deployment | Model Monitoring | Orchestration | Predictive Modeling | Python | Regression | SQL | Snowflake | Statistics | Time Series
Education
N/A
Roles
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