Apply on Employer Site

Analytica · 1 month ago

Data Scientist - NLP

United States

Full-time

Remote

Mid, Senior Level

4+ years exp

Analytica is a leading consulting and information technology solutions provider to public sector organizations. They are seeking a Data Scientist to support long-term federal client engagement projects, applying statistical programming and modeling techniques to analyze public sector problems.

AnalyticsBig DataBusiness IntelligenceConsulting

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

• Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization

• Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)

• Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc

• Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results

• Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges

Qualification

PythonNLP feature engineeringMachine learningSASRTransformer architectureGit/GitHubOpen source NLP packagesAWS cloud environmentSoft skills

Required

Master's degree required, and 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, TensorFlow, PyTorch, Spark NLP

Experience using git/github to version control source code

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

Must be a US citizen

Must be able to obtain and maintain a Public trust security clearance