Principal Data Scientist - Agent Builder
Tasks
- Build and improve retrieval and re ranking approaches
- Communicate trade offs and outcomes through docs notebooks and technical proposals
- Define evaluation strategy for conversational and agentic search
- Design quality metrics and decision frameworks for RAG agents and tools
- Mentor teams on experiment design evaluation methodology and statistical rigor
- Productionize evaluation pipelines telemetry dashboards and CI guardrails
- Prototype and evaluate context enrichment for grounded answers
- Track quality regression for helpfulness groundedness and latency
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | CI Guardrails | Citation Quality | Cost Optimization | Dashboards | Dense retrieval | ESQL | Elasticsearch | Groundedness Evaluation | Information Retrieval | LLM Evaluation | LLM-as-judge | Language Processing | Latency optimization | MRR | NDCG | Natural Language | Natural Language Processing | Pandas | Precisión | PyTorch | Python | Query Understanding | Ranking | Re-ranking | Recall at K | Retrieval-Augmented Generation | Semantic Rewrites | Semantic Search | Sparse Retrieval | Telemetry | Transformers | Vector Search
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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