Data Scientist

This project supports a hard and deeply buried target mission set, providing critical analytic insights to government stakeholders. Success depends on the development of accurate, scalable, and mission-tailored data solutions that enable timely and informed decision-making. The work directly impacts national security objectives by transforming complex data into actionable intelligence in a highly specialized and sensitive domain.
** Responsibilities:*
* * Automate and maintain data extraction, cleaning, processing, and analysis workflows using Python, SQL, and ETL tools under established best practices.
* Process and analyze structured and unstructured datasets using big data or cloud-native frameworks (e.g., Spark, Hadoop, or managed cloud services).
* Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases.
* Contribute to end-to-end data science and data engineering workflows, from data preparation and feature engineering through model development and results delivery, with guidance from senior team members as needed.
* Write clear, well-structured documentation of methods, assumptions, and results; assist with briefings or presentations to technical and non-technical stakeholders.
* Support the use of Large Language Models (LLMs) within existing systems and workflows, including:
* Implementing LLM-based solutions for summarization, tagging, classification, and information retrieval.
* Integrating pre-trained LLMs into pipelines to improve knowledge discovery and data accessibility.
* Assisting with deployment and evaluation of internal LLM-enabled tools or assistants.
* Collaborate closely with data scientists, engineers, analysts, and mission partners to refine requirements and iterate on solutions.
*
* Minimum Qualifications:

*** Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.
* 5 years of professional experience in data science, analytics, or data engineering roles.
* Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 2 yrs of experience.
* Strong coding proficiency in Python and SQL, with experience writing production-quality, maintainable code; working knowledge of R is a plus.
* Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn, PyTorch, Tensor Flow), and automation tools.
* Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.
* Ability to clearly communicate technical concepts and analytical results in writing and verbally.
* Familiarity with NLP and LLM concepts, including practical experience applying pre-trained models (e.g., GPT-style models) for automation, summarization, or search.
* Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.
*
* Preferred Qualifications:

*
* * Master’s degree in data science, computer science, statistics, engineering, or a related technical field.
* Experience with cloud-based environments (e.g., AWS, Azure, or GCP) and scalable data processing pipelines.
* Working knowledge of NLP techniques, embeddings, vector search, or retrieval-augmented generation (RAG).
* Experience integrating LLMs into applications or workflows using APIs and open-source tooling.
* Exposure to CI/CD, version control, testing frameworks, and software engineering best practices.
* Interest in responsible AI principles, model evaluation, and risk-aware deployment of LLM-based solutions.
#J-18808-Ljbffr