Lead Data Scientist - US Remote
Tasks
- Apply data science best practices
- Build train evaluate and interpret machine learning models
- Design and build multi-agent AI systems
- Design develop and own machine learning solutions
- Develop automated analytics workflows
- Ensure data quality governance and model explainability
- Implement and extend AI agent connectivity using MCP
- Lead data science and machine learning initiatives
- Operationalize analytics and machine learning solutions
- Partner with business stakeholders to define ML approaches
- Produce executive ready insights and visualizations
- Prototype and deploy AI powered analytics tools
- Set technical direction and mentor data scientists
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | API Integration | Agent Service | Agent systems | Autogen | Azure AI | Azure AI Agent | Azure AI Agent Service | Azure AI Foundry | Azure ML | CI/CD | Classification | Clustering | Copilot Studio | Databricks | Delta Lake | ERP integration | Feature Engineering | Langchain | Langgraph | Learning operations | MLOps | MLflow | Machine Learning | Machine Learning Operations | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Power | Microsoft Power Platform | Model Monitoring | Model Validation | Multi-Agent | Multi-Agent Systems | Optimization | Orchestrator Executor | Performance optimization | Power Automate | Power BI | Power Platform | Predictive Modeling | PySpark | Python | RAG | Regression | Reproducibility | SAP ECC | SAP S4HANA | SQL | Semantic Kernel | Semantic Modeling | Series forecasting | Statistical modeling | Time Series | Time Series Forecasting | Tool-Calling
Education
Bachelor of Science | Master of Mathematics | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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