Data Scientist

Arena Technical Resources
Springfield, VA · St. Louis, MOFull-time$170,000–$190,000Posted Aug 28, 2026

About the role

Job Title: Data Scientist

Job Location: Springfield, VA or St. Louis, MO

Compensation: $170,000 - $190,000

Eligibility/Clearance: Candidate must possess an active TS/SCI clearance

and be willing to obtain a CI Polygraph

Job Description

We are looking for an experienced Data Scientist to join our team.

You will get to join a highly functioning team to develop cutting

edge solutions for complex problems. Your job will be to support the

implementation and maintenance of the data architecture for all

Program Data associated with an R&D program.

The R&D program is focused on using Artificial Intelligence/Machine

Learning (AI/ML) algorithms and models, particularly Computer

Vision, applied to Intelligence, Surveillance, and Reconnaissance

(ISR) sensors and platforms for object detection, object tracking,

object classification, and pattern detection. The program involves

developing, testing, fielding, and integrating Computer Vision

models for geospatial data.

Build, test, and maintain databases and large-scale, complex data

processing systems

Build database tables and schemas

Establish data health alerts

Setup data pipelines to support Extract, Transform, and Load (ETL)

of GEOINT or sensor data

Maintain data backend workflows across various systems

Develop workflows to enable API-based movement of data between

platforms

Validate new data adheres to specified data schemas, formats, and

governance requirements

Populate, manage, and maintain metadata standards for datasets

Manipulate and analyze data using Python

Build data visualizations, dashboards, or lightweight Web

applications to communicate key insights

Other Information:

Occasional travel may be required outside of the DC area to support

events or exercises

Local travel may be required to attend meetings at government

facilities

Surge support may be needed at times to support crisis situations

Work is located at CTR facility

Work schedule is flexible, but a good amount of team collaboration

is required which generally occurs M-F from 0900-1500 EST and team

members should do their best to be reachable during those core hours

Skills/Qualifications

Required:

Strong background in data architecture and data science

Prior experience working with cloud architectures, maintaining SQL

and no-SQL databases, programming APIs, and data version control

management (minimum 4 years’ experience)

Scripting ability with Python, JavaScript, or Java (Python most

preferred)

Ability to develop, maintain, and monitor operational data pipelines

across multiple data formats and interfaces

Strong communication skills that allow you to engage with a variety

of technical and non-technical audiences

TS/SCI with CI Poly, but we can consider TS candidates with

eligibility for SCI and CI Polygraph (we can sponsor your SCI and CI

poly if you don't already have them)

15 years of relevant experience and a Bachelor’s degree

(substitutions are allowed for different types of degrees, and

many things can be applied towards experience – e.g.,

internships, certifications, professional publications, etc. )

Desired

NGA domain experience is highly preferred – especially with NGA CORE

Experience with GEOINT datasets

Experience with ATO processes

Sufficient knowledge to implement processes, standards, and tools

using SAFe

Experience developing dynamic visualizations to monitor

availability, currency and volumetrics of operational data pipelines

Education

Bachelors Degree in Computer Science or a related field

ATR is an Equal Opportunity Employer (EOE) who will provide equal

employment opportunity to employees and applicants for employment

without regard to race, ethnicity, religion, color, sex, pregnancy,

national origin, age, veteran status, ancestry, sexual orientation,

gender identity or expression, marital status, family structure, genetic

information, or mental or physical disability

Responsibilities

  • Support the implementation and maintenance of data architecture for R&D program
  • Build, test, and maintain databases and large-scale data processing systems
  • Establish data health alerts
  • Setup data pipelines for ETL of GEOINT or sensor data
  • Maintain data backend workflows across various systems
  • Develop workflows for API-based data movement
  • Validate new data against specified schemas and formats
  • Populate and manage metadata standards for datasets

Qualifications

  • Strong background in data architecture and data science
  • Prior experience with cloud architectures and maintaining SQL and no-SQL databases
  • Scripting ability with Python, JavaScript, or Java
  • Ability to develop and monitor operational data pipelines
  • Strong communication skills for engaging with technical and non-technical audiences
  • TS/SCI with CI Poly or eligibility for SCI and CI Polygraph

Skills mentioned

PythonData ScienceComputer VisionData EngineeringETLData PipelinesSQLNoSQLCloud ComputingAPI Integration

About Arena Technical Resources

Writing and Editing51-200 employeesRockville, Maryland