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Data Scientist - TSSCI w/ Poly

Insight Global • Reston, VA • 2h ago

Job Description

Core Responsibilities

Develop, train, and optimize machine learning algorithms for mission use cases

Build predictive analytics models using intelligence data from multiple sources

Integrate disparate intel datasets (structured, unstructured, geospatial) into unified analytical pipelines

Use Oracle Machine Learning (OML) as the primary modeling environment

Design and implement AI enhanced data pipelines, including metadata extraction, enrichment, lineage, and cataloging

Apply LLM based techniques (RAG, MCP) to augment predictive workflows

Build and maintain SQL, Python, and R based analytical scripts and services

Collaborate with AI engineers to integrate models into mission applications and dashboards

Work with geospatial data @types (rasters, vectors) for spatial ML and predictive modeling

Develop reproducible notebooks, AutoML workflows, and model evaluation frameworks

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Required Skills

Strong foundation in ML algorithms, predictive modeling, and statistical learning

Experience integrating and preparing intelligence data for analysis

Hands on experience with Oracle Machine Learning (OML)

Proficiency in SQL, Python, R

Experience with geospatial data (rasters, vectors)

Ability to build and maintain data pipelines for ingestion, normalization, enrichment, and orchestration

Familiarity with LLM augmented workflows (RAG, MCP)

Ability to work with mission stakeholders to translate data into actionable predictions

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