Data Scientist - Mid - #918

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📍 Dayton, Ohio, United States

About this role

Data Scientist - Mid - #918

Clearance Required:  TS/SCI 

Dayton, Ohio - 100% onsite

 

Position Overview 

The Mid-level Data Scientist applies foundational mathematical programming, statistical analysis, and data validation skills to build, maintain, and test analytical data structures. Working as part of an integrated data science team within the NASIC Technology, Data, and Assessment Division (A9A), this position executes routine data cleaning, maintains production dashboards, and assists in the day-to-day implementation of basic automation routines. The mid-level engineer supports the enterprise software pipeline by preparing high-quality data ingestion models to optimize center-wide analytical throughput. 

Core Responsibilities 

  • Data Cleaning & Algorithm Execution: Writes baseline data extraction, transformation, and loading (ETL) scripts. Assists in executing defined IA/AI/ML techniques and running diagnostic checks on active software models. 
  • Dashboard Maintenance & Front-End Design: Develops and updates automated program dashboards and data visualization portals using toolsets approved for the NASIC Unified Cloud (NUC). 
  • Data Flow & Ontology Compliance: Assists in applying metadata governance standards and data structures to incoming datasets, verifying that raw data frames align with enterprise data ontology frameworks. 
  • Sprint & Board Collaboration: Participates fully in daily stand-ups and pure Agile engineering ceremonies on a fixed two-week sprint cadence. Tracks individual task progress using JIRA and documents data pipeline workflows inside Confluence. 
  • Discrepancy Remediation Support: Collaborates with senior data scientists to troubleshoot minor data ingestion errors, fix dashboard bugs, and execute scheduled database maintenance scripts. 

Qualifications & Experience 

Required: 

  • Education & Experience: Bachelor’s degree and 5 years of experience OR a Master’s degree and 3 years of experience in Data Science, Computer Science, Information Technology, Statistics, or a related computational field. 
  • Technical Expertise: Experience performing core data manipulation, writing clean SQL or Python code, and handling structured/unstructured databases. Practical, working knowledge of data analytics libraries and code repositories (such as GitLab). 
  • Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Familiarity with fundamental DoD cybersecurity protocols and information management profiles. 

Desired: 

  • NASIC Experience: NASIC experience highly desired, not mandatory. 

Frequently Asked Questions

Is the salary disclosed for the Data Scientist - Mid - #918 position at allenintegratedsolutions?
The salary for this Data Scientist - Mid - #918 role at allenintegratedsolutions is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist - Mid - #918 position at allenintegratedsolutions located?
This Data Scientist - Mid - #918 role at allenintegratedsolutions is based in Dayton, Ohio, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Scientist - Mid - #918 at allenintegratedsolutions belong to?
This Data Scientist - Mid - #918 position is part of the ASTRA department at allenintegratedsolutions. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Scientist - Mid - #918 position at allenintegratedsolutions?
Click the "Apply Now" button on this page. You will be redirected to allenintegratedsolutions's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Scientist - Mid - #918 job at allenintegratedsolutions posted?
This Data Scientist - Mid - #918 position at allenintegratedsolutions was posted on Aug 31, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist - Mid - #918
allenintegratedsolutions
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