Natural Language Processing and Data Scientist with Security Clearance

The Applied Research Laboratory for Intelligence & Security (ARLIS) - a University Affiliated Research Center (UARC) under the UMD Vice President of Research (VPR) seeks to hire a Natural Language Processing (NLP) and Data Scientist. We seek talented, experienced professionals who can work with a team to support the research, construction, implementation, test, documentation, and maintenance of socio-technical solutions that provide highly impactful capabilities for the Department of Defense and Intelligence Community. The Natural Language Processing and Data Scientist's responsibilities include developing NLP systems according to user and sponsor requirements. Synthesizing and summarizing the state of the art in NLP approaches related to complex datasets. Adapting AI and Machine learning algorithms to process textual data sets. Working with human annotators, subject matter experts, and annotation software tools to develop bespoke NLP capabilities. Finding and implement the right algorithms and tools for NLP tasks. Use effective text representations to transform natural language into useful features. Creating custom NLP and data science models from scratch using the integrated data sources. Designing and building custom NLP and data science models based on large datasets. Creating new data processing pipelines and various data science processes including data preparation, feature selection, training, classification, and deployment workflows. Training the developed model and run evaluation experiments.
Working closely with user needs experts to develop NLP and AI/ML algorithms/tools for integration in software development. Developing written reports and briefings for stakeholders and customers. Minimum Qualifications: Bachelor's degree (or higher) in computational linguistics, data science, computer science, statistics, or related fields. Three or more (3+) years of experience building custom data science models using machine learning. Four or more (4+) years of experience with Natural Language Processing and/or visualization tools such as R or Tableau. Three or more (3+) years of experience with Linux. Experience with statistics and statistical analysis of data. Experience with R, Python, SAS, MATLAB, or other programming languages.
Comfortable performing data acquisition, data cleansing and other data preparation tasks Excellent social skills. The ability to work independently and collaboratively in a team environment.
Excellent communication skills, both written and verbal Able to work on-site work from 3-5 days per week at the UMD/ARLIS building in College Park, MD. The position does not support travel expenses from the employee's lodging to the work site. Preferences:
Master's degree or Ph.D. in Computational Linguistics, Data Science, Statistics, Computer Science, Mathematics, Operations Research, or another related technical discipline.
2+ years of experience designing and writing production-level code for NLP applications.
Experience with other programming languages (e.g. C , Java, .NET etc.).
Experience with writing complex SQL queries and analyzing data correlations.
Experience with the AWS ecosystem.
Experience with deep learning, reinforcement learning, and natural language processing.
Experienced with software engineering processes and techniques.
Documented research experience specific to NLP, ML, deep learning, or artificial intelligence either as part of academic activities (e.g., dissertation) or professional experience.
Project management skills, ability to scope out timelines, methodologies, and deliverables for development, testing, and integration into the platform.
Experience with agile workflow and continuous integration and delivery (CI/CD).
Experience with project and/or program management.
Possess an active Top Secret security clearance.