Director Data Science
Tasks
- Apply RAG grounding and guardrails
- Build business cases and analyze options
- Collaborate with stakeholders for investigations and feasibility
- Conduct architectural reviews
- Define and manage requirements and prioritization
- Define product roadmap and deliverables
- Design agent frameworks and interfaces
- Ensure model documentation and reproducibility
- Establish model governance standards
- Guide agentic AI ecosystem integration
- Implement responsible AI practices
- Implement tool use and workflow orchestration
- Lead data science strategy
- Lead productionization of AI systems
- Manage data requirements and data quality
- Mentor data science teams
- Monitor and adopt emerging AI technologies
- Oversee secure auditable explainable AI solutions
- Set analytics quality bar
- Set automated evaluation and regression pipelines
- Translate trends into technology roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent coordination | Agentic AI | Automated Evaluation | CI/CD | Data Modeling | Data Pipelines | Data Privacy | Data Quality | Data quality assurance | Enterprise Security | Foundation Models | Generative AI | Guardrails | Infrastructure as Code | LLM | Machine Learning | Model Governance | Model versioning | Multi-Agent | Multi-Agent Coordination | Natural Language | Natural language interfaces | Observability | Predictive Modeling | Prompt versioning | Python | Quality Assurance | RAG | Responsible AI | Statistical Analysis | Testing | Tool use | Vector Databases | Version control | Workflow Orchestration | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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