Data Scientist - Mid

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.

QinetiQ US’s Defense Modernization business unit is seeking a Mid Data Scientist who will provide comprehensive and advanced analytical support to AFIMSC (Air Force Installation and Mission Support Center) in San Antonio, TX, focusing on complex data analytics, tool development, wargaming support, and base resiliency analysis. The data scientist will manage and analyze data, enhance automation and efficiencies, and ensure compliance with relevant regulations. Administrative support tasks such as meeting coordination and report writing are also part of the role.

Responsibilities

• Analytical Support
• Perform advanced data analytics tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
• Use Data Fabric platforms (Envision, VAULT, Advana, Blade, UDL, etc.) and employ data science techniques using COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.), existing tools developed with Visual Basic, and other available software for tool development and analysis.
• Provide support for wargaming events such as Futures Game (FG), Long Duration Logistics Wargame (LDLW), Global Engagement (GE), etc., including advanced modeling and simulation analysis.
• Data Management
• Obtain necessary data from public domains if not provided by the government and manage government-furnished data, reports, and database access.
• Enhance automation, error detection and reduction, data storage and access techniques, and data visualization for reporting.
• Performance Metric Development
• Continue to support current metrics using existing automated processes for collecting, compiling, analyzing, distributing, and reporting data. This includes enhanced automation, error detection and reduction, data storage and access techniques, and data visualization for reporting.
• Identify and create additional metrics and tools to support leadership requirements. Continue to build on current automated processes for collecting, compiling, analyzing, distributing, and reporting financial services metrics.
• Base Resiliency Analysis
• Implement discrete-event simulation using existing models or COTs software to model base processes such as runway repair.
• Identify scenarios and metrics to be simulated and analyzed, integrating simulation models with government-owned models to determine airbase capabilities over time.
• Automation and Efficiencies
• Implement automation into processes that are manually intensive or where efficiencies can be made. Develop apps and automated flows using the MS Power Platform suite and other data fabric platforms to eliminate or reduce manual tasks.
• Identify and develop optimization models for processes to gain cost savings, time savings, or other relevant objectives.

Required Qualifications

• Education and Experience
• Degree in Data Science, Computer Science, Operations Research, Industrial Engineering, or a related field.
• Alternatively, at least 24 semester hours in a combination of data science, operations research, mathematics, probability, statistics, computer science, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
• Master’s degree plus at least 3 years of experience or a PhD.
• Located in or able to commute to the San Antonio, TX, area.

Preferred Qualifications

• Ability to obtain or already possess a SECRET security clearance, based on an investigation completed within the past 5 years.
• Experience supporting AFIMSC or adjacent/subordinate organizations
• Demonstrated experience in advanced data analytics and tool development within a government contracting environment.
• Experience with Data Fabric platforms such as Envision, VAULT, Advana, Blade, UDL, etc.
• Proficiency in COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.), and existing tools developed with Visual Basic.
• Familiarity with wargaming events like Futures Game (FG), Long Duration Logistics Wargame (LDLW), Global Engagement (GE), etc.
• Expertise in sustaining existing tools and developing new tools and analysis.
• Familiarity with various mission and installation support activities to include Housing and Dorms, Security Forces, Environmental Management, Food Services, Child & Youth Programs, MWR Programs, AF Lodging, Deployment and Distribution, Communications Infrastructure, Emergency Services, and Combat and Command Support.
• Experience with advanced analysis and tool development using various software platforms and coding languages.

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.