Impactful Data Scientist: ETL, Dashboards & Analytics

Allen Integrated Solutions, LLC; Dayton (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

The NASIC Technology, Data, and Assessment Division (A9A) seeks a Mid-level Data Scientist to apply statistical analysis, data validation, and ETL skills to build robust data structures and dashboards. This on-site role supports data ingestion and production analytics within an integrated data science team at Wright-Patterson AFB.

You will collaborate in Agile ceremonies, maintain dashboards, and help implement automation while ensuring data governance and ontology compliance for enterprise

Qualifications

• Experience performing core data manipulation and writing clean SQL or Python code.
• Familiarity with data analytics libraries and code repositories (GitLab).
• Active TS/SCI security clearance for on-site support at Wright-Patterson AFB.
• NASIC experience is highly desired but not mandatory.

Responsibilities

• Data Cleaning & Algorithm Execution: Writes baseline ETL scripts and runs IA/AI/ML techniques.
• Dashboard Maintenance & Front-End Design: Maintains automated dashboards and visual portals.
• Data Flow & Ontology Compliance: Applies metadata governance and enterprise ontology standards.
• Sprint & Board Collaboration: Participates in Agile ceremonies and tracks tasks in JIRA.
• Discrepancy Remediation Support: Troubleshoots ingestion issues and performs routine maintenance.

Skills

SQL

Python

Data manipulation

Agile practices

Education

Bachelor’s degree in Data Science / CS / IT / Statistics

Master’s degree in related field

Tools

GitLab

JIRA

Confluence

Job description

The NASIC Technology, Data, and Assessment Division (A9A) seeks a Mid-level Data Scientist to apply statistical analysis, data validation, and ETL skills to build robust data structures and dashboards. This on-site role supports data ingestion and production analytics within an integrated data science team at Wright-Patterson AFB.

You will collaborate in Agile ceremonies, maintain dashboards, and help implement automation while ensuring data governance and ontology compliance for enterprise