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GRVTY

RF signature collection for defense

Data Scientist

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeMcLean, VA, USA$150k - $250kIn-person

About the Job

Requirements

  • Active Top Secret/Sensitive Compartmented Information clearance with polygraph, acceptable to the customer.
  • Demonstrated professional or academic experience performing natural language processing tasks, including selecting appropriate Python libraries, choosing preprocessing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python natural language processing packages such as spaCy, Gensim, or NLTK to analyze or process document collections.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
  • Demonstrated professional or academic experience with the Hugging Face Transformers library and hub.
  • Demonstrated experience creating Python machine learning models for text classification and topic modeling using scikit-learn or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform natural language processing tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL, including common table expressions, set operations, aggregate functions, and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as GitHub and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Develop practical approaches for measuring performance.
  • Assist in developing measures, collecting and analyzing data, and presenting findings to senior leadership.
  • Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assist in selecting or developing appropriate research methodologies.
  • Analyze information and present research findings in a manner easily understood by customers and consumers.

Responsibilities

  • Work closely with the Sponsor’s data scientists and technical team to implement requirements; the Sponsor’s GTM manages priorities.
  • Conduct sophisticated analysis using deployed tools and natural language processing.
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess and clean structured and unstructured Sponsor data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets.
  • Use SQL in the Sponsor’s Oracle database to develop and organize relevant information with supporting analytics.
  • Independently or with a team, author analytic publications and produce ad hoc reports, including data visualizations using the Sponsor’s templates.
  • Stay current with the Sponsor’s enterprise metadata collection tools.
  • Implement the Sponsor’s existing coordination process.
  • Provide technical education and natural language processing subject matter expertise to support Sponsor initiatives for staff on an ad hoc basis.

Desired Qualifications

  • Demonstrated experience writing Python scripts that retrieve data from web-based APIs and relational databases.
  • Demonstrated experience with cloud computing development and architecture.
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning large language models on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

About the Company

GRVTY

RF signature collection for defense

GRVTY develops tools for national security by collecting real-time RF signatures and delivering situational awareness for defense operations. Its flagship product, SPEAR (Special Purpose Environmental Activity Recorder), is a compact, cost‑effective device that can be quickly deployed to gather radio-frequency signals in both land and maritime environments. The data from SPEAR feeds into comprehensive data platforms that turn raw RF signals into actionable insights for asset management and command decisions. Compared with other defense vendors, GRVTY emphasizes rapid field deployment, portability, and a tight integration between hardware for RF data collection and software platforms for analysis, enabling users to maintain a strategic edge in volatile, globally influenced threats. The company aims to help defense clients monitor, understand, and respond to evolving risks by providing reliable RF intelligence and platforms that support real-time decision making.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
McLean, VA
Founded
2024

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