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Data Scientist

Job ID: 2401178
Location: EGLIN AFB, FL, United States
Date Posted: Feb 19, 2024
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No Remote
Benefits: Click here

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Job Description


SAIC is seeking a Data Scientist in Eglin AFB, FL! 
At the AFRL Munitions Directorate, we dream big. We look for people with a passion for science and engineering. We want to deliver world class research and weapons concepts to continually give the United States warfighter the advantage on the ground, in the air, or in space. We hope you want to do the same.

As a Data Scientist you will work directly with munitions scientists to design and build AFRL’s leading-edge data lake.

You will:

Research, test, and evaluate the best-of-breed data collection mechanisms we’ll leverage to curate modeling and simulation, terminal seeker sciences, aerodynamics, guidance, navigation, and control data.

Architect science and technology data collection strategies that automates ingest and indexing to transform data into quarriable intelligence.

Develop machine learning and unsupervised learning models and dataset statistics.

Build robust visualization dashboards that summarizes contextual insights and celebrates S&T data intelligence.

Author data state surveys that highlight and demonstrate data lake utilization.


  • DoD SECRET Clearance is required to start
  • Understand best practices of dataflow transit and curation of raw endpoint data to intelligent enrichment.
  • Experience with implementing mechanisms that dynamically index, tag, and add metadata to a fully searchable database.
  • Experience with deploying data analytics tools and techniques. 
  • Adept at recognizing data patterns, trends, and insights.
  • Open to exploring bespoke solutions to get the most out of AFRL's data and resources
  • Experience with large scale data storage, retrieval, and processing solutions, such as Apache Spark.
  • Data collection in a research laboratory context.
  • Data stream processing with tools such as Apache Kafka.
  • Developing visualizations that help users gain novel insights and actionable intelligence from their data.
  • Experience with accessing the performance and suitability of trained machine learning model’s performance on new data.
  • Assessing performance and suitability of trained machine learning model’s performance on new data.
  • B.S. in Computer Science or Data Science & 9+ years of experience, OR Master's degree & 7+ years of experience.

Desired certifications to include: 

  • Certified Analytics Professional (CAP)
  • Data Science Council of America (DASCA) Principle Data Scientist (PDS)
  • Microsoft Certified Data Scientist or AI Fundamentals
  • Tensorflow Developer
  • SAS Certified Professional in AI and Machine Learning.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.


SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective and efficient solutions that are critical to achieving our customers' missions.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.9 billion. For more information, visit For ongoing news, please visit our newsroom.

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