Principal Data Scientist - Agent Builder
Tasks
- Build and compare retrieval and reranking approaches
- Define evaluation strategy for conversational and agentic search
- Design quality metrics and decision frameworks for RAG and agents
- Identify quality gaps and influence roadmap decisions
- Mentor data scientists and engineers in experiment design and evaluation
- Productionize evaluation pipelines telemetry and CI guardrails
- Share outcomes through documentation notebooks and technical proposals
- Turn experimental results into product and business decisions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | CI Guardrails | Citation Evaluation | Context Enrichment | Cost trade-offs | Dashboards | Dense retrieval | ESQL | Elasticsearch | Groundedness Evaluation | Information Retrieval | LLM-as-judge | Language Processing | Latency | MRR | NDCG | Natural Language | Natural Language Processing | Pandas | Precisión | PyTorch | Python | Query Understanding | Ranking | Re-ranking | Recall at K | Regression testing | Retrieval-Augmented Generation | Semantic Rewrites | Semantic Search | Sparse Retrieval | Telemetry | Trade-offs | Transformers | Vector Search
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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