Data Scientist - NLP

Analytica is seeking a Data Scientist to support long-term federal client engagements. This position is fully remote.

We offer competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

• Pre-processing: Demonstrate skills to collect, clean, and prepare data sets for input into a computational model using Python. Explain methods applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
• Feature Engineering and Attribute Evaluation: Demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, Glo Ve, and Fast Text. Identify key determinants for modeling and select evaluation protocols.
• Modeling: Practice skills selecting classification modeling techniques to fit the business problem, including machine learning (ML) supervised and unsupervised learning, regression, neural networks, deep learning, and natural language processing.
• Validation: Describe experience with investigating, reporting, and justifying model results.
• Visualization: Experience in presenting results of modeling activities, depicting insights, and explaining the relevance of results to business challenges.

• Master's degree required;
  PhD preferred in Statistics, Mathematics, Computer Science, or similar.
• High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling.
• At least four years of experience developing scalable, production-ready NLP solutions using sci‑kit learn, Keras, Tensor Flow, PyTorch, Spark NLP.
• Experience using git/github for version control.
• Experience leveraging transformer architecture to develop NLP models.
• Experience with open source NLP packages such as Gensim, Spa Cy, or NLTK.
• Experience with BERT, GPT-J, RoBERTa, T5 or other transformers.
• Experience with GenAI and Prompt Engineering is a plus.
• Experience in Databricks and MLFlow is a plus.
• Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus.
• Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract.
• Experience coordinating and maintaining user stories.
• Must be a US citizen.
• Must be able to obtain and maintain a Public trust security clearance.