Data Scientist, Mid

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, hyperparameter tuning, and baseline creation for anomaly detection and system‑behavior characterization. Support multi‑INT data fusion, including GEOINT, SIGINT, MTI, ISR, or related mission data types. Document analytic methods, model assumptions, performance metrics, and validation frameworks. Contribute to technical deliverables and analytic CONOPs in collaboration with senior data science leadership. 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. Join us. The world can’t wait. You Have: Experience in data science, applied analytics, or ML Experience working with geospatial or multi‑INT datasets and developing and validating AI or ML models Experience with distributed compute environments and handling high‑volume mission data Experience integrating models or analytics into production or mission workflows Experience with cloud‑native ML platforms such as AWS SageMaker or Azure ML 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 Top Secret clearance HS diploma or GED Nice If You 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 Professional Certifications such as Google Professional Machine Learning Engineer, Azure Data Scientist Associate, AWS Machine Learning - Specialty, or TensorFlow Developer Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. 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Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. 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