Senior GenAI & Retrieval Data Scientist | Flexible Hours

LexisNexis Legal & Professional group

United States

A distancia

USD 76.000 - 111.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Flexible hours
Shared parental leave
Study assistance
Sabbaticals

Descripción de la vacante

LexisNexis Legal & Professional is seeking a Senior Data Scientist II to advance generative AI, retrieval-augmented generation, and agentic AI systems. You will own Python production apps, ensure reliability, logging, monitoring, and secure handling of credentials, while improving LLM-powered drafting and retrieval solutions with advanced search and embeddings.

The ideal candidate will have advanced Python, OpenSearch/Solr experience, monorepo work, and a track record of cross-functional

Formación

  • Advanced Python and software design fundamentals.
  • Experience turning prototypes into maintainable production systems.
  • Strong knowledge of modular, observable architectures for AI applications.
  • Experience with automated testing (pytest) and mocking external services.

Responsabilidades

  • Architect modular agentic applications with clear separation of concerns (retrieval, prompt construction, model invocation, tool execution).
  • Independently refactor complex Python code for correctness, readability, and performance.
  • Own production readiness of AI components including validation, timeouts, retries, and secure credential handling.
  • Establish observability for LLM/retrieval workflows via logging, metrics, tracing, and alerting.
  • Design interfaces and data contracts between retrieval, orchestration, model, and downstream components.
  • Write comprehensive tests (unit, integration, regression, end-to-end) for failure modes and unavailable dependencies.
  • Review code to identify architectural risks and provide actionable feedback.
  • Diagnose latency, memory usage, retrieval performance, token costs, and scalability.
  • Apply data structures and algorithms optimizing computational complexity.

Conocimientos

Python
OpenSearch
Monorepo
Testing & CI
Observability
Code reviews
Production ownership
LLM reasoning
Performance optimization

Herramientas

pytest
ruff
mypy
Pydantic
CI tools
OpenSearch

Descripción del empleo

LexisNexis Legal & Professional is seeking a Senior Data Scientist II to advance generative AI, retrieval-augmented generation, and agentic AI systems. You will own Python production apps, ensure reliability, logging, monitoring, and secure handling of credentials, while improving LLM-powered drafting and retrieval solutions with advanced search and embeddings.

The ideal candidate will have advanced Python, OpenSearch/Solr experience, monorepo work, and a track record of cross-functional

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