Natural Language Processing and Data Scientist with Security Clearance - College Park, MD, United States - Applied Research Lab for Intelligence and Security

    Applied Research Lab for Intelligence and Security
    Applied Research Lab for Intelligence and Security College Park, MD, United States

    2 weeks ago

    Default job background
    Description
    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.