Senior Data Scientist
Tasks
- Analyze model results
- Assess data quality
- Collaborate on data integrity fixes
- Communicate findings to stakeholders
- Conduct data analysis review
- Create project plans to improve business metrics
- Deploy machine learning models
- Develop data models
- Develop data-driven strategies
- Ensure data formatting and description
- Evaluate model methodology and performance
- Form hypotheses from data
- Lead data acquisition
- Maintain model integrations
- Monitor model performance
- Recommend model improvements
- Run machine learning experiments
- Validate machine learning models
- Write efficient code
Perks/Benefits
Skills/Tech-stack
Airflow | Causal Inference | Classification | Data Modeling | Data Quality | Data acquisition | Data cleaning | Experimental Design | KQL | Machine Learning | Model Deployment | Model Validation | Monitoring | Python | R | Regression | SQL | Scalability | Spark | Time Series
Education
Roles
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