Apogee Engineering

Provides engineering solutions with client-focused service

Data Science & Analytics Specialist

Data SciencePosted on Nov 5

Full-timeWright-Patterson AFB, OH, USANo salary listed

About the Job

Requirements

U.S. citizenship is required.
Must be able to obtain and maintain a Top Secret/Sensitive Compartmented Information security clearance.
A bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field and at least two years of related experience are required; qualifying experience may include applied research, internships, or professional work.
Experience using data analysis tools or languages such as Python, R, SQL, or similar is required.
Ability to interpret quantitative results and communicate them clearly in writing and verbally is required.
Familiarity with basic data management and data quality concepts is required.

Responsibilities

Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
Support the preparation and transformation of data for intelligence analytics, artificial intelligence, machine learning, and advanced analytics.
Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
Document analytic processes, data flows, and results in support of technical reports and briefings.
Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.

Desired Qualifications

Experience supporting intelligence analytics, artificial intelligence, or machine learning model development, evaluation, or integration is preferred.
Familiarity with cloud-based data and analytics platforms is preferred.
Experience working with intelligence or operational datasets, simulated or real, is preferred.

Overview

Apogee Engineering has a exciting position for a Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.

****Contingent Upon Contract Award****

Responsibilities

Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
Document analytic processes, data flows, and results in support of technical reports and briefings.
Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.

Qualifications

Minimum Experience:

Citizenship: Must be a US citizen Clearance: Ability to obtain and maintain a TS/SCI security clearance.

Education / Years of Experience:Additional Experience:

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years’ related experience (may include applied research, internships, or professional work).
Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
Ability to interpret quantitative results and communicate them clearly in written and verbal form.
Familiarity with basic data management and data quality concepts.

Preferred Qualifications:

Experience supporting IA/AI/ML model development, evaluation, or integration.
Familiarity with cloud-based data and analytics platforms.
Experience working with intelligence or operational datasets (simulated or real).

Additional InformationLocation: Wright Patterson AFB Dayton, OHOn-site/Hybrid/Remote: On-siteTravel: Occasional

About the Company

Apogee Engineering

Provides engineering solutions with client-focused service

Apogee Engineering provides engineering consulting services, focusing on delivering practical, tailored engineering solutions for clients across various venues and projects. They work by collaborating with clients to understand needs, then designing, developing, and deploying the right engineering approach at the right time, with emphasis on integrity and excellence. The company differentiates itself through a client-first mindset, a small-business, family-like culture, and a commitment to mentoring and professional client support, ensuring reliability and long-term success for clients. The goal is to help clients succeed by providing dependable, effective engineering solutions and trusted partnerships.

Company size: 501-1,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Colorado, United States
Founded: 2004

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