Sr Data Scientist
Tasks
- Architect cloud data pipelines for analytics and machine learning
- Build Python feature engineering and model pipelines
- Design and optimize data warehouses and dimensional data marts
- Design data structures for AI and advanced analytics
- Develop and orchestrate ETL ELT workflows with Apache Airflow
- Develop architecture documentation source to target mappings and data dictionaries
- Drive modernization of legacy data systems and processes
- Enhance reporting marts and semantic layers for self service analytics
- Establish monitoring logging and data quality frameworks
- Implement automated data validation and monitoring
- Implement data governance artifacts and improve data quality
- Implement version controlled repeatable ML pipelines with CI CD
- Improve metadata management data lineage and semantic consistency
- Integrate internal and external data sources
- Lead governance and enterprise data strategy
- Manage model lifecycle feature store integration and performance monitoring
- Mentor engineers and lead cross functional collaboration
- Productionize machine learning models across batch and near real time
- Translate business requirements into scalable technical solutions
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Medical insurance
- Mileage reimbursement
- Paid parental leave
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Apache Airflow | Azure | Azure Data | Azure Data Factory | Azure Synapse | BigQuery | CI/CD | Data Factory | Data Governance | Data Lineage | Data Quality | Data Warehousing | Dimensional Modeling | ELT | ETL | Feature Engineering | Feature Store | Informatica | Lifecycle Management | Machine Learning | Metadata Management | Model Lifecycle | Model Lifecycle Management | Power BI | Python | SQL | Snowflake | Talend
Education
N/A
Regions
Countries
States
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