Senior Data Scientist
Tasks
- Build quality validation and performance indicators
- Clean datasets
- Develop statistical approaches
- Document methodologies and assumptions
- Improve data quality methodologies
- Perform root cause analysis on data issues
- Query large datasets
- Stress test datasets
- Summarize findings for technical and non technical stakeholders
- Support production deployment with engineering
- Validate data quality
Perks/Benefits
Skills/Tech-stack
Azure | Cloud Computing | Data Aggregation | Data Quality | Data Validation | Data cleaning | Data quality control | Databricks | Econometrics | Git | Mathematics | PySpark | Python | Quality Control | SQL | Spark | Statistics
Education
N/A
Roles
Regions
Countries
States
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