Data Scientist – NLP / Generative AI

Data

Scientist – NLP / Generative AI<\/span><\/b>

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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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