Data Scientist NLP / Generative AI

Location:
Hybrid – Arlington, Virginia <\/span>
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Employment
Type: Full -time <\/span>
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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. <\/span>
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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. <\/span>
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What
will you do <\/span><\/b>
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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. <\/span>
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Responsibilities: <\/b>
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• <\/span><\/span> Design
and build NLP and generative AI solutions applied to internal business
processes, including document understanding, classification, summarization, and
conversational AI.
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• <\/span><\/span> Develop,
fine -tune, and evaluate large language models and transformer -based
architectures for domain -specific applications.
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• <\/span><\/span> Build
and iterate on retrieval -augmented generation (RAG) systems, embedding
pipelines, and vector search infrastructure.
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• <\/span><\/span> Work
closely with business and operations stakeholders to scope problems, define
evaluation criteria, and validate model outputs against real -world
requirements.
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• <\/span><\/span> Analyze
and interpret model behavior, identify failure modes, and develop mitigation
strategies to ensure reliable, responsible outputs.
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• <\/span><\/span> Collaborate
with ML engineers and platform teams to move experiments into production
pipelines.
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• <\/span><\/span> Document
experimental methodology, data lineage, and model evaluations to support
reproducibility and knowledge sharing.
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• <\/span><\/span> Stay
current on developments in NLP research and GenAI tooling, bringing relevant
advances into the team’s work quickly.
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Requirements: <\/b>
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US
Citizen or Permanent Resident authorized to work in the United States. <\/span>
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Experience:
5–8 years of applied data science experience with a strong focus on natural
language processing and text -based systems. <\/span>
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NLP
& GenAI: Hands -on experience with transformer architectures (BERT, GPT, T5,
or similar), fine -tuning workflows, and production deployment of language
models. <\/span>
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RAG
& Embeddings: Direct experience building retrieval -augmented generation
pipelines, vector databases (Pinecone, Weaviate, FAISS, or equivalent), and
semantic search systems. <\/span>
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Programming:
Strong Python skills; proficiency with HuggingFace Transformers, LangChain, or
similar GenAI tooling. <\/span>
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Evaluation:
Experience designing rigorous evaluation frameworks for generative models,
including human evaluation, LLM -as -judge approaches, and automated
benchmarking. <\/span>
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Preferred: <\/b>
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Experience
applying NLP in a professional services, legal, finance, or consulting domain. <\/span>
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Familiarity
with responsible AI practices, including bias assessment, output auditing, and
hallucination mitigation. <\/span>
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Background
in information extraction, named entity recognition (NER), or document
intelligence. <\/span>
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Experience
with cloud -based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure
OpenAI, or GCP Vertex AI). <\/span>
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Graduate
degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics,
or a related field. <\/span>
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Benefits: <\/b>
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• <\/span><\/span> Family
Health Care (54% cost covered for the entire family)
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• <\/span><\/span> Family
Dental (54% cost covered for the entire family)
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• <\/span><\/span> Family
Vision (54% cost covered for the entire family)
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• <\/span><\/span> Flexible
Spending Account
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• <\/span><\/span> Performance
bonuses tied to project and delivery milestones
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• <\/span><\/span> Lifetime
Event Bonuses (e.g., new child, marriage)
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• <\/span><\/span> Profit -sharing
arrangement for any work brought into the company
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• <\/span><\/span> Unlimited
Leave with Approval
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• <\/span><\/span>401k
– 100% employer match on first 4% invested
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• <\/span><\/span>$1,500
annual training and conference budget
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Job
Type: Full -time, Permanent Position <\/span>
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Work Authorization: <\/b>
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US
Citizen or Permanent Resident; no active security clearance required. <\/span>
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Schedule: <\/b>
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Monday
to Friday <\/span>
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Work Location: <\/b>
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Hybrid
– Arlington, Virginia <\/span>
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