NLP Data Scientist - Poly Clearance Required

Bespoke Technologies, Inc.; McLean, Northern (VA, KY); Hybrid; USD 130,000 - 190,000; Full time

Job summary

Bespoke Technologies, Inc. seeks an experienced NLP/ML specialist with active Poly clearance to work on advanced text analytics, classification, and topic modeling using Python, PyTorch/TensorFlow, and HuggingFace Transformers. You will preprocess data, select libraries, evaluate models, and communicate findings to leadership.

The role requires strong SQL skills and experience with cloud and Linux environments, Git/Jenkins for CI, and familiarity with enterprise Java stacks as needed.

Qualifications

• Experience performing NLP tasks, selecting Python libraries, and preprocessing for analysis.
• Using Python NLP packages (Spacy, Gensim, NLTK) to process document collections.
• Experience with deep learning frameworks (PyTorch, TensorFlow, Keras).
• Familiarity with HuggingFace Transformers for modeling and deployment.
• Ability to develop text classification and topic modeling models in Python (scikit-learn or deep learning).
• Experience with encoder-decoder and generative language models for NLP tasks.
• Ability to explain methodological choices and model results clearly.
• SQL experience including CTEs, sets, aggregates, and nested queries.
• Version control with Github, Jenkins; GPU-accelerated computing experience.
• Experience with Oracle, Tomcat, AWS, Linux; familiarity with Spring frameworks.

Skills

NLP task proficiency

Python programming

Academic or professional NLP projects

Communication of methodology

SQL proficiency

GPU-accelerated computing

Version control (Git)

Model evaluation & performance metrics

Tools

Python (Spacy)

Gensim

NLTK

PyTorch

TensorFlow

Keras

HuggingFace Transformers

Scikit-learn

SQL

Git

Jenkins

Eclipse

Maven

Gradle

Oracle

AWS

Linux

Spring

Spring Data JPA

Tomcat

Job description

Bespoke Technologies, Inc. seeks an experienced NLP/ML specialist with active Poly clearance to work on advanced text analytics, classification, and topic modeling using Python, PyTorch/TensorFlow, and HuggingFace Transformers. You will preprocess data, select libraries, evaluate models, and communicate findings to leadership.

The role requires strong SQL skills and experience with cloud and Linux environments, Git/Jenkins for CI, and familiarity with enterprise Java stacks as needed.