> Markdown version of [/jobs/ext/1822709-data-scientist-expert](https://www.wearedevelopers.com/jobs/ext/1822709-data-scientist-expert). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Expert - **Company:** S O S I Inc - **Location:** Augusta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Agile Methodology, Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Computer Vision, Confluence, Big Data, Cluster Analysis, Spatial Databases, Geospatial Intelligence, GIS Applications, Python (Programming Language), Logistic Regression, Machine Learning, Metadata Standards, Microsoft Office, Natural Language Processing, Object Detection, Performance Tuning, PRINCE2, Principal Component Analysis, Scrum Methodology, Tensorflow, SQL Databases, Unstructured Data, Scripting, Data Ingestion, Deep Learning, Data Analytics, Data Management, Machine Learning Operations, Feature Extraction, Splunk, Data Pipelines, Microservices - **Published:** July 1, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9006216/data-scientist-expert ## About the Role * MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR + BA/BS degree in a STEM-related discipline AND 10 years of relevant experience * Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience. * Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing. * Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable. * Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capabilities. * Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable. * Current, active TS/SCI security clearance with Single Scope Background Investigation (SSBI), * Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.) * Certification in AWS (AI/ML specialty). * Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain. * Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories. * Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs. * Experience with Microsoft Office tools to deliver reports, graphics and briefings. ## Description SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army Intelligence and Security Command (INSCOM). The role involves applying advanced statistical, computational, and machine learning techniques to solve complex analytical problems and generate mission-critical insights. This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and operationalize high-value analytical models. The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated analytical outputs that support operational, intelligence, and enterprise-level decision-making., * Perform predictive and prescriptive analytics to identify trends, patterns, and anomalies in large datasets; validate, document, and optimize all models for operational use. * Collect, clean, and fuse structured and unstructured data from multiple sources; design and maintain scalable data pipelines that ensure quality, lineage, and reliability at enterprise scale. * Apply logistic regression, clustering, PCA, NLP, neural networks, deep learning, and related techniques to deliver insights otherwise unobtainable and to meet mission objectives. * Develop and maintain algorithms, scripts, and micro-services (Python, R, Julia, SQL) to automate data ingestion, processing, geoprocessing, and analytics workflows. * Design and deploy models for object detection, image classification, feature extraction, and activity recognition using modern ML frameworks; implement testing, performance tuning, and MLOps practices. * Build actionable dashboards and visualizations; deliver clear reports, charts, and multimedia presentations that translate technical findings into mission-relevant decisions. * Employ geospatial scientific principles and GIS tools to integrate location-based data and models; support GEOINT workflows and (where applicable) NSG TCPED processes. * Administer, query, and optimize tabular and geospatial datasets; leverage SQL and spatial databases while enforcing metadata standards, governance policies, and data stewardship. * Operate within TS/SCI/SSBI requirements; implement security, privacy, and access controls across data, models, and tooling to meet DoD/IC policies and program standards. * Work within Scrum/Kanban/Lean frameworks; partner with stakeholders to define requirements, iterate solutions, and evaluate emerging tools/algorithms-recommending innovations that improve analytical outcomes and mission impact. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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