Senior NLP & GenAI Data Scientist (Hybrid Arlington)

AIToolboard; Arlington (VA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible spending account

Performance bonuses

401k match

Training budget

Unlimited leave

Job summary

BizFirst is assisting with the recruitment of a Data Scientist specializing in NLP and Generative AI for hybrid work in Arlington, Virginia. The role combines hands-on research with engineering to move NLP/GenAI solutions from experimentation to production across internal workflows.

You will work on production NLP systems, fine-tune language models, and implement RAG pipelines, embedding search, and advanced evaluation frameworks while collaborating with ML engineers and business stakeholders.

Qualifications

• 5–8 years of applied data science with NLP focus.
• Hands-on experience with transformer architectures (BERT, GPT, T5).
• Production deployment of language models.

Responsibilities

• Design and build NLP and GenAI solutions for internal processes.
• Fine-tune and evaluate large language models for domain apps.
• Develop and iterate RAG systems and embedding pipelines.
• Collaborate with stakeholders to scope problems and evaluate results.
• Analyze model behavior and mitigate failure modes.
• Work with ML engineers to move experiments to production.
• Document methodology and data lineage for reproducibility.
• Stay updated on NLP and GenAI tooling advances.

Skills

NLP

GenAI

Python

HuggingFace

LangChain

Transformer architectures

RAG

Vector databases

Research to production

Education

MS or PhD in CS/Computational Linguistics/Stats

Tools

Pinecone

Weaviate

FAISS

OpenAI API

AWS Bedrock

Azure OpenAI

Job description

BizFirst is assisting with the recruitment of a Data Scientist specializing in NLP and Generative AI for hybrid work in Arlington, Virginia. The role combines hands-on research with engineering to move NLP/GenAI solutions from experimentation to production across internal workflows.

You will work on production NLP systems, fine-tune language models, and implement RAG pipelines, embedding search, and advanced evaluation frameworks while collaborating with ML engineers and business stakeholders.