TS/SCI Data Scientist – Onsite Dashboards & ETL

Allen Integrated Solutions; Dayton (KY); On-site; USD 90,000 - 140,000; Full time

Job summary

Allen Integrated Solutions is seeking a Mid-level Data Scientist for 100% onsite duties in Dayton, Ohio. The role supports NASIC’s Data, and Assessment Division (A9A) with data cleaning, ETL scripting, and dashboard maintenance as part of an integrated data science team.

You will work on data ingestion models, ontology compliance, and Agile ceremonies. A TS/SCI clearance is required for on-site work. NASIC experience is preferred but not mandatory.

Qualifications

• Bachelor’s degree with 5+ years in data science or related field.
• Experience performing core data manipulation, writing clean SQL or Python code, and handling structured/unstructured databases.
• Active TS/SCI clearance for on-site support at Wright-Patterson AFB.

Responsibilities

• Data Cleaning & Algorithm Execution: Writes baseline ETL scripts and runs IA/AI/ML techniques.
• Dashboard Maintenance & Front-End Design: Develops automated dashboards and data portals.
• Data Flow & Ontology Compliance: Applies metadata governance and validates data against enterprise ontologies.
• Sprint & Board Collaboration: Participates in daily stand-ups and two-week sprints using JIRA and Confluence.
• Discrepancy Remediation Support: Troubleshoots data ingestion errors and maintains dashboards.

Skills

Data cleaning

Dashboard maintenance

ETL scripting

SQL

Python

GitLab

JIRA

Confluence

Education

Bachelor’s degree

Master’s degree

Tools

SQL

Python

GitLab

JIRA

Confluence

Job description

Allen Integrated Solutions is seeking a Mid-level Data Scientist for 100% onsite duties in Dayton, Ohio. The role supports NASIC’s Data, and Assessment Division (A9A) with data cleaning, ETL scripting, and dashboard maintenance as part of an integrated data science team.

You will work on data ingestion models, ontology compliance, and Agile ceremonies. A TS/SCI clearance is required for on-site work. NASIC experience is preferred but not mandatory.