Principal Data Scientist I
Indexed description
Would you like to be part of a team that innovates using technology?
Responsibilities
- Acting as a leader for analytic project and result sharing
- Leading code reviews, acting as a final approver of models before reaching customers
- Evaluating and creating new frameworks and defining methodologies and governance
- Managing and leading small-to-medium sized teams, directly or indirectly
- Setting a high-bar for model development
- Large language models (prompting, fine-tuning, adaptation), LLM
- Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG
- Embedding strategies and semantic search systems
- Knowledge graph integration and graph-enhanced intelligence
- Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI
- Evaluation science (offline metrics, human-in-the-loop systems)
- Cost-performance optimization
- AI observability and monitoring in production
- Data governance and compliance-aware system design
- Have excellent communication skills and the ability to convey information clearly to senior stakeholders
- Be a natural problem-solver and able to take a lead in collaborating to resolve issues
- Have experience in mentoring or training others, and acting as a subject matter expert to guide colleagues
- Have some management experience, including leading a team indirectly or directly
- Have significant experience in a Data Scientist role
- Have experience in leading complex projects and customer relationships
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