Booz Allen
DataScientist,Mid
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optimal for Mid candidates.
“Data Scientist, Mid at Booz Allen. Skills: Data Science, Machine Learning, AI/ML Model Development, SQL, Python, Cloud-native ML platforms. Contribute to analytic development and mission-focused modernization across space-based GEOINT environments. Design, build, validate, and deploy analytic models”
What You'll Achieve.
Enhance decision advantage for operational users; Deliver high-quality analytics tailored for real-time and near-real-time operational use; Ensure analytics align with mission needs and timelines
Industry & Context.
Translate mission objectives into technical requirements; Implement analytic prototypes; Ensure outputs meet mission timelines, accuracy expectations, and operational usability standards; Support the development of statistical baselines, anomaly detection workflows, and multi-INT fusion analytics
Active TS/SCI willingness to take a polygraph exam, TS/SCI clearance is required, Security investigation, Eligibility requirements for access to classified TS/SCI clearance
What They're Looking For.
Must Have
Experience in data science, applied analytics, or ML, Experience working with geospatial or multi-INT datasets, and developing and validating AI/ML models, Experience with distributed compute environments and handling high-volume mission data, Experience integrating models or analytics into production or mission workflows, Experience developing queries, transformations, and operational analytics in SQL and Python, Ability to support analytic CONOPs, translate mission requirements, and document technical approaches, Ability to collaborate in a high-tempo environment and communicate technical concepts to mission stakeholders, Active TS/SCI willingness to take a polygraph exam, HS diploma or GED
Nice to Have
Experience with IC or DoD analytics, including within DIA, CCMDs, USSPACECOM, or mission-partner organizations, Experience with FADE or MIST, JEMA, or operator-facing mission-system analytics, Experience building models for MTI, ISR such as SAR and EO, or space-domain analytics, Experience developing or supporting enterprise-level data architectures, catalogs, or metadata frameworks, TS/SCI clearance with a polygraph, Google Professional Machine Learning Engineer certification, Azure Data Scientist Associate certification, AWS Machine Learning – Specialty certification, TensorFlow Developer Certification
What You'll Do.
Contribute to analytic development and mission-focused modernization across space-based GEOINT environments
and deploy analytic models
Build end-to-end analytic workflows
Ingest complex mission data
Develop repeatable models
Deploy models into cloud-native environments
Translate mission objectives into technical requirements
Implement analytic prototypes
Ensure outputs meet mission timelines
accuracy expectations
and operational usability standards
Support the development of statistical baselines
anomaly detection workflows
and multi-INT fusion analytics
and validate analytics supporting multi-INT
and space-system data
Build and evaluate AI/ML models
Contribute to data engineering workflows
and storage of large mission datasets
Develop analytic prototypes and support their operationalization into cloud-native platforms
Integrate models and analytics into mission-critical workflows
supporting near-real-time data processing
Perform feature engineering
hyperparameter tuning
and baseline creation for anomaly detection and system-behavior characterization
Support multi-INT data fusion
or related mission data types
Document analytic methods
and validation frameworks
Contribute to technical deliverables and analytic CONOPs
Collaborate with operators and mission partners to ensure analytics align with mission needs and timelines
Provide mentorship to junior analysts and support continuous improvement of analytic best practices
How You'll Work.
Team & Collaboration
Work within a multi-disciplinary team of data engineers, mission analysts, and cloud engineers; Collaborate with government partners, operators, and senior data scientists; Collaborate with operators and mission partners; Collaborate in a high-tempo environment
Communication Scope
Communicate technical concepts to mission stakeholders
Full Job Description
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/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 Do:** * 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, hyperparameter tuning, and baseline creation for anomaly detection and system‑behavior characterization. * Support multi‑INT data fusion, includi
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