Fort Gordon, GA, USA
Full-time
Clearance Requirement: Top Secret/SCI
Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job 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.
Essential Job Duties:
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.
Qualifications
Minimum Requirements:
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)
Preferred Qualifications:
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.
Additional Information
Work Environment
Normal office conditions
The primary performance location for this contract will be Fort Gordon, Georgia. The Government reserves the right to require contract performance at alternate locations, as dictated by mission requirements, and these locations may be subject to change.
Additional performance locations are as follows:
MacDill AFB, Florida
Buckley SFB, Colorado
Springfield, Virginia
Potential performance locations may include the following:
Vicenza, Italy
Wiesbaden, Germany
Fort Shafter, Hawaii
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.
SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.
