Director of Data Engineering & Data Science - IAA
Chicago, IL (Hybrid)
R
USD 175K-272K (estimate) Executive-level Full Time
Tasks
- Advise leadership on data strategy and technical tradeoffs
- Build scalable data platforms and BI architecture
- Create semantic models and dashboards
- Define data platform vision and architecture
- Deploy machine learning systems
- Develop delivery strategy and operating rhythm
- Develop forecasting solutions
- Drive execution using Azure analytics stack
- Enable self-service analytics
- Establish engineering practices for governance and scalability
- Implement data pipelines
- Lead data engineering and data science function
- Mentor and grow data engineering and data science talent
- Partner with business stakeholders to solve data problems
- Shape advanced analytics and AI roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Azure | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | DBT | Docker | Event Hubs | GPT | Google Gemini | Microsoft Fabric | Power BI | Prophet | PyTorch | Python | SARIMAX | SQL | Scikit-learn | Synapse Analytics | TensorFlow | Terraform | Vertex AI
Education
N/A
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