Director of Data Science
Hybrid, Atlanta, Georgia, United States
R
USD 116K-247K (estimate) Executive-level Full Time
Tasks
- Architect scalable ML AI infrastructure
- Build and lead data science team
- Create experimentation culture
- Deploy enterprise machine learning systems
- Drive organizational data literacy
- Identify and prioritize high roi use cases
- Influence c suite decisions with predictive insights
- Monitor and govern model lifecycle
- Recruit, develop, and retain talent
- Translate business opportunities into data science projects
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | Agentic AI | Apache Spark | Autogen | Automl | Causal Inference | Cloud Platforms | DBT | Enterprise analytics | GenAI | Langchain | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Governance | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Optimization | Production Machine Learning | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | Snowflake | Statistical modeling | TensorFlow
Education
N/A
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