Data Scientist - Mid - #918

allenintegratedsolutions; Dayton (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

allenintegratedsolutions in Dayton, Ohio seeks a Mid-level Data Scientist to join NASIC’s A9A division on a 100% onsite basis.

The role focuses on data cleaning, ETL, dashboards, and data pipelines, with TS/SCI clearance required and Agile ceremonies using JIRA and Confluence.

Qualifications

• Bachelor's degree and 5 years of experience or Master's degree and 3 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 security clearance for 100% on-site support at Wright-Patterson AFB.
• Familiarity with fundamental DoD cybersecurity protocols and information management.
• NASIC experience is highly desired, not mandatory.

Responsibilities

• Data Cleaning & Algorithm Execution: Writes baseline ETL scripts and assists in IA/AI/ML techniques.
• Dashboard Maintenance & Front-End Design: Develops automated dashboards and data portals for NASIC Cloud.
• Data Flow & Ontology Compliance: Applies metadata governance standards to datasets and aligns with enterprise ontologies.
• Sprint & Board Collaboration: Participates in daily stand-ups and two-week sprints using JIRA and Confluence.
• Discrepancy Remediation Support: Troubleshoots ingestion errors and performs routine database maintenance.

Skills

SQL

Python

Data cleaning

ETL

Dashboard development

Agile practices

GitLab

JIRA

Confluence

Education

Bachelor's degree in a related field

Master's degree in a related field

Tools

GitLab

Job description

Position Overview

Data Scientist - Mid - #918

Clearance Required: TS/SCI

Dayton, Ohio - 100% onsite

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

• 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.