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Data Scientist Mid

Company Overview

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

 

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

 

Why Join QinetiQ US?

 

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

Position Overview

We are looking for a data scientist to join our team at DIA.

Responsibilities

Work with complex data sets to solve real world problems. Support the warfighter and policy makers with decision making.

Required Qualifications

  • 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications
  • 3+ years of experience with Python, Java, JavaScript, Rust, or PostgreSQL
  • 2+ years of experience developing code for data manipulation, data analysis, or data modeling
  • Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
  • Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
  • Experience in the development of algorithms leveraging Python and SQL
  • Experience with developing solutions incorporating Large Language Models
  • Experience with Python data science and visualization packages
  • Experience with leading the development of solutions to complex problems
  • TS/SCI clearance with CI poly qinetiqclearedjob
  • Bachelor’s degree or equivalent experience

Preferred Qualifications

  • 8+ years of experience in Extract, Transform, and Load (ETL) processes
  • 2+ years of experience with AI and ML implementation and development
  • Experience with DevSecOps tools, including GitHub
  • Experience working within the Intel Community
  • Experience with database administration or data analytics
  • Experience with structured and unstructured data
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud 
  • Experience with Streamlit, Tkinter
  • Experience with Agile software development 

Company EEO Statement

 

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to [email protected] or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

 

QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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CEO of QinetiQ US
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Shawn Purvis
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Average salary estimate

$125000 / YEARLY (est.)
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$100000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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We are dedicated to defending sovereign capability, protecting lives, and securing the vital interests of our customers.

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Full-time, onsite
DATE POSTED
October 9, 2025
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