Data Scientist NLP / Generative AI

Data
Scientist – NLP / Generative AI

Location:
Hybrid – Arlington, Virginia

Employment
Type: Full -time

BizFirst
is assisting our client with the hiring of a Data Scientist specializing in
natural language processing and generative AI to help the organization move
from early experimentation into production -ready AI capabilities. This is a
hands -on research and engineering role where you will own the design and
delivery of NLP and GenAI solutions applied directly to the client’s most
complex internal workflows.

Our
client is a mid -market professional services organization that is actively
rethinking how it designs and executes its core business operations through
artificial intelligence and automation. The company is building a dedicated AI
capability to embed machine learning and generative AI into its most critical
internal workflows – from decision support and process automation to real -time
analytics and intelligent document processing.

What
will you do

The
ideal candidate brings 5–8 years of applied data science experience with a deep
specialization in NLP and a working command of modern generative AI techniques.
You have built production NLP systems, worked with transformer -based
architectures, and have direct experience with large language models –
including fine -tuning, prompt engineering, and retrieval -augmented generation
(RAG). You are comfortable moving between research and engineering as the work
demands.

Responsibilities:

•       Design
and build NLP and generative AI solutions applied to internal business
processes, including document understanding, classification, summarization, and
conversational AI.

•       Develop,
fine -tune, and evaluate large language models and transformer -based
architectures for domain -specific applications.

•       Build
and iterate on retrieval -augmented generation (RAG) systems, embedding
pipelines, and vector search infrastructure.

•       Work
closely with business and operations stakeholders to scope problems, define
evaluation criteria, and validate model outputs against real -world
requirements.

•       Analyze
and interpret model behavior, identify failure modes, and develop mitigation
strategies to ensure reliable, responsible outputs.

•       Collaborate
with ML engineers and platform teams to move experiments into production
pipelines.

•       Document
experimental methodology, data lineage, and model evaluations to support
reproducibility and knowledge sharing.

•       Stay
current on developments in NLP research and GenAI tooling, bringing relevant
advances into the team’s work quickly.

Requirements:

US
Citizen or Permanent Resident authorized to work in the United States.

Experience:
5–8 years of applied data science experience with a strong focus on natural
language processing and text -based systems.

NLP
& GenAI: Hands -on experience with transformer architectures (BERT, GPT, T5,
or similar), fine -tuning workflows, and production deployment of language
models.

RAG
& Embeddings: Direct experience building retrieval -augmented generation
pipelines, vector databases (Pinecone, Weaviate, FAISS, or equivalent), and
semantic search systems.

Programming:
Strong Python skills; proficiency with HuggingFace Transformers, LangChain, or
similar GenAI tooling.

Evaluation:
Experience designing rigorous evaluation frameworks for generative models,
including human evaluation, LLM -as -judge approaches, and automated
benchmarking.

Preferred:

Experience
applying NLP in a professional services, legal, finance, or consulting domain.

Familiarity
with responsible AI practices, including bias assessment, output auditing, and
hallucination mitigation.

Background
in information extraction, named entity recognition (NER), or document
intelligence.

Experience
with cloud -based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure
OpenAI, or GCP Vertex AI).

Graduate
degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics,
or a related field.

Benefits:

•       Family
Health Care (54% cost covered for the entire family)

•       Family
Dental (54% cost covered for the entire family)

•       Family
Vision (54% cost covered for the entire family)

•       Flexible
Spending Account

•       Performance
bonuses tied to project and delivery milestones

•       Lifetime
Event Bonuses (e.g., new child, marriage)

•       Profit -sharing
arrangement for any work brought into the company

•       Unlimited
Leave with Approval

•       401k
– 100% employer match on first 4% invested

•       $1,500
annual training and conference budget

Job
Type: Full -time, Permanent Position

Work Authorization:

US
Citizen or Permanent Resident; no active security clearance required.

Schedule:

Monday
to Friday

Work Location:

Hybrid
– Arlington, Virginia