Lead, Analytics & Data Engineering - TS/SCI Required
Tasks
- Advise non technical stakeholders on data products
- Build and validate machine learning models
- Create dashboards and visualizations
- Define analytical requirements with stakeholders
- Design and optimize data warehouses
- Develop ETL and ELT pipelines
- Develop analytic narratives for decision making
- Frame and scope analytical problems
- Lead data engineering and data science team
- Manage project delivery timelines deliverables resources and quality
- Mentor junior data engineers and data scientists
- Oversee data pipeline modernization
- Perform data integration for scalable analytics
- Perform feature engineering and predictive analytics
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Data Warehousing | Data integration | Database optimization | ELT | ETL | Feature Engineering | Java | Machine Learning | Plotly | Power BI | Predictive Analytics | Python | Qlik | R | R Shiny | SQL | Schema Design | Streamlit | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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