Data Scientist Security Clearance
Job in
Doral, Miami-Dade County, Florida, USA
Listed on 2026-07-17
Listing for:
Endurion
Full Time
position Listed on 2026-07-17
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, Data Engineering
Job Description & How to Apply Below
Job Title:
Data Scientist Experience Levels: 3+ years
Location:
Located in Doral, FL with 10% travel requirement Clearance: TS/SCI Quiet Professionals (dba Endurion) is seeking a dedicated and proactive technical subject matter expert to work in all stages of the data development lifecycle for advanced analytics projects including Big Data, artificial intelligence/machine learning, and other applications to advance current platform capabilities within multiple classification domains. Use data enrichment techniques to feed RDF triplestore and manage data with graph database.
Uncovers and explains actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, AI, and storytelling.
Duties and Responsibilities:
Accelerate progress on JADC2 related strategies for the Combatant Command (CCMD) in support of the AI and Data Acceleration. Support the integration and scaling ongoing and proven capabilities used in real-world operations, simulations, experiments, and demonstrations. Improve the organization’s data management with CDAO, ADVANA, CDO, and other internal/external entities to scale existing platforms and assist warfighters in making data visible, accessible, understandable, linked, trustworthy, interoperable, and secure.
Expert Python developer using many different machine learning and data science frameworks including Tensor Flow, PyTorch, Keras, Ray, RLLib, numpy/scipy, scikit-learn, Caffe, pandas, PyMC3, and numerous others. Utilize knowledge of computer networking concepts and protocols, and network security methodologies to support enterprise data capabilities. Provide risk management matrix (e.g., methods for assessing and mitigating risk) on implementation of data strategies and use-cases in support of critical CCMD missions.
Skill in conducting queries and developing algorithms to analyze data structures. Experienced in modern approaches to artificial intelligence, including deep learning, and keep up on latest advances by actively implementing and applying and inferential statistics, sampling, experimental design, parametric and non-parametric tests of difference, ordinary least squares regression, general line). Skill in creating and utilizing mathematical or statistical models. Design, develop, and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.
Conduct intelligence activities involving Publicly Available Information and Commercially Available Information according to EO 12333 and DoD 5240.1.R. Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists. Analyze data sources to provide actionable recommendations. Expert in data enrichment pipelines to support Resource Description Framework (RDF) triplestore, semantic web and graph database.
Well-versed in a variety of No
SQL and relational database technologies including Elasticsearch, MongoDB, and modern graph databases such as DGraph and ArangoDB Skill in using deep learning approaches to build machine learning models. Develop data visualizations using tools such as d3.js, bokeh, matplotlib, and others Proficient applying large scale data processing technologies such as the Apache Spark, Kafka, and the Hadoop ecosystem (HDFS, YARN, Zookeeper) to developing scalable advanced analytics including data mining and anomaly detection.
Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government. Effective communicator, support technical exchanges with scientists and engineers to expression of high level insights to customers and management Develop, document, implement, and automate ETL (extract transform load) processes using SQL® and other analytical programming tools that most efficiently import structured, semi-structured, and unstructured data from new and/or dynamic data sources, ensuring data validity, reliability, and availability to users.
Support implementation of DoD and Intelligence Community…
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