Data Scientist - Mid - #918

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

Job summary

Allen Integrated Solutions in Dayton, OH is seeking a mid-level Data Scientist to apply statistical analysis, data validation, and ETL scripting within the NASIC Technology, Data, and Assessment Division (A9A). The role focuses on data cleaning, dashboard maintenance, and basic automation to support center-wide analytics.

You will collaborate with an integrated data science team on on-site tasks, ensure data integrity, and contribute to production dashboards using approved NASIC cloud tools;

Qualifications

• Bachelor’s degree and 5 years of experience OR a Master’s degree and 3 years in Data Science, CS, IT, Statistics, or related field.
• Experience performing core data manipulation, writing clean SQL or Python code, and handling structured/unstructured databases.
• Familiarity with data analytics libraries and code repositories (e.g., GitLab).
• Active TS/SCI security clearance for on-site support at Wright-Patterson AFB; DoD cybersecurity basics knowledge.

Responsibilities

• Data Cleaning & Algorithm Execution: Writes baseline ETL scripts and assists with IA/AI/ML techniques and model diagnostics.
• Dashboard Maintenance & Front-End Design: Develops and updates dashboards and data portals using NASIC-approved toolsets.
• Data Flow & Ontology Compliance: Applies metadata governance and aligns raw data with enterprise ontology standards.
• Sprint & Board Collaboration: Participates in daily stand-ups and Agile ceremonies; tracks tasks in JIRA and documents pipelines in Confluence.
• Discrepancy Remediation Support: Troubleshoots data ingestion issues, fixes dashboard bugs, and runs maintenance scripts.

Skills

Data manipulation

SQL/Python coding

Databases handling

Data analytics libraries

GitLab usage

Education

Bachelor’s degree

Master’s degree

Tools

JIRA

Confluence

GitLab

Job description

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