Mid-Level Data Scientist with TS/SCI Clearance

CALNET, Inc.; Springfield (VA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement savings plan

Generous leave time

Job summary

CALNET, Inc. is seeking a Senior Analytical Methodologist in Springfield, VA. The role focuses on GEOINT data enrichment and management, requiring extensive experience in quantitative and qualitative analysis.

Candidates should have a Bachelor's or Master's degree in a related field along with a current TS/SCI clearance. A competitive salary and comprehensive benefits are offered including 401(k) and health insurance.

Qualifications

• 7+ years of experience in quantitative and qualitative analysis.
• Experience with data mining, cleansing, and exploring various data formats.
• Active TS/SCI clearance required.

Responsibilities

• Apply expertise to exploit GEOINT data.
• Develop advanced analytic processes for GEOINT data.
• Create automated services for GEOINT creation and delivery.

Skills

Quantitative analysis

Qualitative analysis

Data visualization

GIS

Database development

Programming (Python, Java, JavaScript, SQL)

Education

Bachelor’s or master’s degree in computer science or information technology

Tools

GIS software

Modeling software

Spatial analysis tools

Job description

Founded in 1989, CALNET, Inc. has become one of the fastest growing privately held companies in the Technology, Intelligence Analysis, and Language Services consulting arena. Headquartered in Reston, VA, CALNET employees deliver true value to our customers by employing best practices, world‑class technologies industry expertise in every project. CALNET is ISO 9001, ISO 20000, ISO 27001, CMMI‑Level III for Services, and CMMC Level 2 certified.

About The Job

The Senior Analytical Methodologist possesses skills that focus on GEOINT data enrichment and management. Applies expertise to exploit GEOINT data or information in order to develop advanced analytic processes, apply scientific approaches to test geospatial data for accuracy and precision, create automated services that support GEOINT creation and delivery, and/or structure and manage data for further use.

Requirements

• 7+ years of demonstrated experience using quantitative and qualitative techniques to solve complex problems using analytic tools and techniques such as GIS, quantitative methods, data visualization, modeling, systems analysis, comparative analysis, and database development.
• Bachelor’s or master’s degree in computer science or information technology discipline.
• Demonstrated knowledge and experience in data mining, cleansing and exploring spatial, temporal and non‑spatial data in both structured and unstructured formats.
• Demonstrated knowledge of programming languages (e.g., Python, Java, JavaScript, SQL), modeling software, spatial analysis tools and concepts, data mining methods, database structures and analytic information extraction and visualization.
• Current, active TS/SCI clearance with the ability to obtain a CI Poly.

This opportunity is located in Springfield, VA. CALNET, Inc. offers a competitive base salary and a generous benefits package including medical, dental, vision, life, short‑ and long‑term disability insurances, a 401(k) retirement savings plan, and generous leave time.

CALNET, Inc. is an Equal Opportunity Employer; all qualified applicants are encouraged to apply. EEO/M/F/D/V