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AnalyticaAN

Data Scientist - NLP

Analytica is an award-winning federal consulting and IT solutions firm based in Washington, D.

Analytica

Employee count: 51-200

United States only

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Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems.

This position is fully remote.

Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Responsibilities include:

  • 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.
Qualifications:
  • 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
  • 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

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans.

We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Analytica

Learn more about Analytica and their company culture.

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Analytica is an award-winning federal consulting and IT solutions firm based in Washington, D.C. Founded in 2009, the company specializes in providing cutting-edge consulting services and technology solutions that support federal health, civilian, and national security missions. As a small business with a focus on innovation, Analytica has quickly established itself as a trusted partner for government agencies, offering a broad range of data-driven solutions.

The firm prides itself on its ability to simplify complex data, enabling clients to make informed decisions that directly enhance mission outcomes and citizen services. With a commitment to excellence, Analytica leverages advanced analytics and digital transformation strategies to modernize government operations and improve user experience. Their dedicated team tackles some of the most pressing challenges facing our communities today.

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Analytica hiring Data Scientist - NLP • Remote (Work from Home) | Himalayas