Lead, Data Engineering & Analytics - TS/SCI Required
Tasks
- Advise non technical stakeholders on data products
- Build and validate machine learning and statistical models
- Create dashboards and visualizations
- Design data warehouse schema and data governance
- Develop ETL and ELT pipelines
- Develop analytic narratives for decision making
- Frame analytical problems and scope datasets
- Implement data integration workflows
- Lead data engineering and data science teams
- Manage project delivery timelines deliverables resources and quality
- Modernize data pipelines and data warehouses
- Perform feature engineering and predictive analytics
- Report findings and communicate results to stakeholders
Perks/Benefits
Skills/Tech-stack
Causal Inference | Data Transformation | Data Warehouse | Data integration | Database optimization | ELT | ETL | Feature Engineering | Java | Machine Learning | Plotly | Power BI | Predictive Analytics | Python | Qlik | R | R Shiny | Relational databases | SQL | Schema Design | Simulation | Statistical modeling | Streamlit | Tableau | Text Analysis | Unstructured text | Unstructured text analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analytics | Analytics Engineer | Data Engineering | Data Engineering Lead | Data Scientist | Engineer | Engineering Lead | Lead | Scientist
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