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.
Responsibilities
- 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, GloVe, and FastText. 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.
Qualifications
- 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, TensorFlow, 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, SpaCy, 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.