Data Scientist – NLP

Analytica

Data Scientist building production-ready NLP models for Analytica, a public-sector consulting and IT solutions provider. Applying machine learning, transformers, and cloud technologies to federal client problems.

Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable NLP solutions using Python, applying advanced machine learning techniques, and leveraging cloud environments for model deployment. Proficient in data preparation, feature engineering, and presenting insights to address business challenges.

Highest-signal resume keywords

NLP Feature EngineeringMachine Learning TechniquesPython ProgrammingAWS Cloud EnvironmentPublic Trust Security Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NLP PreprocessingTF-IDFWord2VecGloVeFastTextScikit-LearnKerasTensorFlowPyTorchGit/GitHub

Soft Skills

CommunicationCollaboration

Tools & Technologies

SASRGensimSpaCyNLTKBERTGPT-JRoBERTaT5Databricks

Certifications & Qualifications

Master's DegreePhD Preferred

Industry Keywords

NLP SolutionsMachine TranslationTranscriptionUser StoriesGenAIPrompt Engineering

Tech Stack

Tools & technologies

AWSAzureCloudKerasPythonPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Collect, clean, and prepare datasets for computational models using Python
Apply NLP preprocessing methods including stop word removal, stemming, lemmatization, and tokenization
Perform NLP feature engineering and attribute evaluation using TF-IDF, word2vec, GloVe, and FastText
Select classification and other modeling techniques for business problems
Apply supervised and unsupervised machine learning, regression, neural networks, deep learning, and NLP techniques
Investigate, report, and justify model results
Present modeling results and insights and explain their relevance to organizational business challenges
Support long-term federal client engagement projects in the DC Metro area
Coordinate and maintain user stories

Requirements

What you’ll need

Master's degree required in Statistics, Mathematics, Computer Science, or similar
At least four years of experience developing scalable, production-ready NLP solutions
High degree of experience using SAS, R, or Python for NLP use cases
Experience with scikit-learn, Keras, TensorFlow, PyTorch, or Spark NLP
Experience using Git/GitHub for source-code version control
Experience leveraging transformer architecture to develop NLP models
Experience with open-source NLP packages such as Gensim, spaCy, or NLTK
Experience with BERT, GPT-J, RoBERTa, T5, or other transformers
Experience working in an AWS cloud environment and with services such as Bedrock and Textract
Experience coordinating and maintaining user stories
Must be a U.S. citizen
Must be able to obtain and maintain a Public Trust security clearance
PhD in Statistics, Mathematics, Computer Science, or similar preferred
Experience with GenAI and prompt engineering is a plus
Experience with Databricks and MLflow is a plus
Experience with machine translation and transcription of foreign-language documents using Microsoft Azure translation services is a plus

Benefits

Comp & perks

Opportunities for bonuses
Employer-paid health care
Training and development funds
401(k) match