Data Scientist, Mid

The Opportunity

As a mid‑level data scientist supporting a Space Force program, you will contribute to analytic development and mission‑focused modernization across space-based GEOINT environments. You will work within a multi‑disciplinary team of data engineers, mission analysts, and cloud engineers to design, build, validate, and deploy analytic models that enhance decision advantage for operational users.

You will help build end‑to‑end analytic workflows, from ingesting complex mission data to developing repeatable models and deploying them into cloud‑native environments. You will translate mission objectives into technical requirements, implement analytic prototypes, and ensure outputs meet mission timelines, accuracy expectations, and operational usability standards.

In this role, you will support the development of statistical baselines, anomaly detection workflows, and multi‑INT fusion analytics. You will work with tools such as Python, SQL, FADE or MIST, JEMA, and modern AI or ML libraries. You will collaborate with government partners, operators, and senior data scientists to deliver high‑quality analytics tailored for real‑time and near‑real‑time operational use.

What You’ll Work On

• Design, implement, and validate analytics supporting multi‑INT, geospatial, and space‑system data.
• Build and evaluate AI / ML models using libraries such as TensorFlow, PyTorch, and Scikit‑learn.
• Contribute to data engineering workflows, including ingestion, transformation, QC, and storage of large mission datasets.
• Develop analytic prototypes and support their operationalization into cloud‑native platforms such as AWS, Azure, or hybrid government cloud.
• Integrate models and analytics into mission‑critical workflows, supporting near‑real‑time data processing.
• Perform feature engineering, model training, hyperpara met er tuning, and baseline creation for anomaly detection and system‑behavior characterization.
• Support multi‑INT data fusion, includ...