Mid-Level Data Scientist with TS/SCI Clearance

CALNET Inc.; Springfield (VA); On-site; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Generous leave time

Job summary

A leading technology consulting firm is seeking a Mid-Level Data Scientist to support NGA in Springfield, VA. This role involves developing advanced analytic processes for GEOINT data and requires a strong background in quantitative techniques, programming, and spatial analysis. Candidates must hold a Bachelor’s or Master’s degree in computer science or IT and possess current TS/SCI clearance. The company offers a competitive salary and generous benefits package, including medical, dental, and retirement plans.

Qualifications

• 7+ years of experience using analytic tools and techniques.
• Experience in data mining, cleansing, and exploring data.
• Current TS/SCI clearance with the ability to obtain CI Poly.

Responsibilities

• Develop advanced analytic processes for GEOINT data.
• Apply scientific approaches for geospatial data accuracy.
• Create automated services for GEOINT creation and delivery.

Skills

Quantitative and qualitative techniques

Data visualization

Programming languages (Python, Java, JavaScript, SQL)

GEOINT data management

Education

Bachelor’s or master’s degree in computer science or IT

Tools

GIS

Database development

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.

We are currently searching for a talented, professional Mid‑Level Data Scientist with TS/SCI clearance to join our team to support NGA.

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 and data visualization, modeling, systems analysis, comparative analysis and database development.
• Bachelor’s degree 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 with the ability to obtain a CI Poly.

This opportunity is located in Springfield, VA. To apply, go to https://jobs.jobvite.com/calnet.

CALNET, Inc. offers a competitive base salary and a generous benefits package. This package includes 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. www.calnet.com

EEO/M/F/D/V