Job Title: Geospatial Data Scientist



Location: Springfield, VA



Eligibility: Candidate must possess an active TS/SCI Clearance



Job Description: Position Overview



We are seeking a Data Scientist to support the Department of Defense

(DoD) and Intelligence Community (IC). This role requires expertise in

processing and analyzing large datasets, as well as developing analytic

processes and automated workflows, scripting solutions, and data

modeling. The ideal candidate will apply their technical skills and

customer-centric approach to solve complex intelligence challenges. This

is a very interesting modernization effort that spans the entire data

life cycle. This is a development effort across sourcing fulfillment,

optimization, analytics, AI/ML, automation and visualization.



Key Responsibilities



Analyze large structured and unstructured datasets to streamline

processes and address intelligence challenges.



Lead and refine analytic solutions, ensuring efficiency and accuracy.



Collaborate with stakeholders to translate road map features into

components/tasks, estimate timelines, assess risks, and suggest

solutions.



Apply exploratory data analysis techniques to identify patterns and

trends in complex data.



Utilize data science techniques, including machine learning, statistical

analysis, and modeling, to generate actionable insights.



Develop and optimize automated workflows for data processing and

analysis.



Conduct peer reviews to improve methodologies and ensure quality.



Mentor junior team members to enhance their technical skills and

knowledge.



Required Qualifications



Security Clearance: TS/SCI w/CI poly



Experience: relevant experience in data science, analytics, or related

fields with experience supporting geospatial IC operations (combination

of experience and certifications can substitute for a degree).



Technical Expertise:



Advanced proficiency in manipulating and analyzing

structured/unstructured data.



Experience with data mining, database management, and analytics

development.



Proficiency in Python and SQL.



Tableau and MatLab for statistical work using advanced analytic

methodologies



Big data analytics experience, strong preference for AI/ML



Proficiency in advanced programming languages and frameworks



Experienced in conducting multi-INT and technology specific research to

support mission operations



Experience in building and maintaining databases of geospatial

intelligence (GEOINT), signals intelligence (SIGINT), or open-source

intelligence (OSINT) data.



Leadership & Communication:



Ability to direct technical teams and solve complex intelligence

problems.



Strong communication skills to convey complex data insights effectively.



Desired Qualifications



Master’s degree in Data Science or a related technical field.



Experience developing and working with Artificial Intelligence (AI) and

Machine Learning (ML) models.



Strong preference for ArcGIS applications working knowledge.



Data visualization expertise, including network and matrix analytics

that assist the analytical workforce in generating common operational

pictures, to support intelligence analysis.