Data Scientist

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.

We are recruiting for a Data Scientist who will have a diverse range of data-focused skills and experience, both technical and analytical. They will have a strong desire and capability for problem solving, data analysis and troubleshooting, analytical thinking, and experimentation, with a particular interest or aptitude in the Cloud arena.

• Working with large, complex, and disparate data sets.
• Designing and implementing innovative ways to analyze and exploit the Sponsor’s data holdings, particularly Cloud-related data holdings.
• Researching and reporting on a wide variety of Sponsor inquiries.
• Raising proactive inquiries to the Client based on observations and proposed data analysis/exploitation.
• Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies.
• Developing custom searches.
• Communicating and coordinating with internal and external partners as needed.

• Active TS/SCI clearance with polygraph required #qinetiqclearedjob
• Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following:
  • Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences)
  • Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)
• Ability to code or script in one or more general programming language.
• Experience with, and understanding of, algorithms for classification, regression, clustering, and anomaly detection.
• Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop).
• Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods).
• Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties.

• Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc.
• Experience working in a mission environment and/or with many different types of data.

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 staffing@us.QinetiQ.com 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/Affirmative Action 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.