TS/SCI Data Scientist — AI/ML & Geospatial Analytics

Arena Technical Resources, LLC (ATR); Bethesda (MD); On-site; USD 170,000 - 190,000; Full time

Job summary

Arena Technical Resources, LLC (ATR) is seeking a Data Scientist to advance AI/ML solutions for ISR geospatial data. You will help design data architectures, implement data pipelines, and create visualizations that translate complex analytics into actionable insights.

The role emphasizes Python-driven data manipulation, database management, and collaboration across teams to support government programs with data governance and robust analytics.

Qualifications

• Strong background in data architecture and data science.
• Minimum 4 years' experience with cloud architectures, SQL and no-SQL databases, APIs, and data version control.

Responsibilities

• 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 ETL of GEOINT or sensor data.
• Maintain data backend workflows across systems.
• Develop workflows to enable API-based data movement.
• Validate data against schemas, formats, and governance requirements.
• Populate, manage, and maintain metadata standards.
• Manipulate and analyze data using Python.
• Build data visualizations, dashboards, or lightweight Web applications.

Skills

Data architecture

Data science

Python scripting

Data pipelines

Communication skills

TS/SCI with CI Poly

15 years experience

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

No-SQL databases

Cloud platforms

APIs

Git

Job description

Arena Technical Resources, LLC (ATR) is seeking a Data Scientist to advance AI/ML solutions for ISR geospatial data. You will help design data architectures, implement data pipelines, and create visualizations that translate complex analytics into actionable insights.

The role emphasizes Python-driven data manipulation, database management, and collaboration across teams to support government programs with data governance and robust analytics.