Senior Data Scientist (Business Operations)

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.

Join us in our support to the US Space Force (HQ USSF) Commercial Satellite Communication (COMSATCOM) Office (CSCO), where you will help shape the future of assured, resilient SATCOM for our warfighters and mission partners. As a key member of a highly collaborative, mission-focused team, you will apply your expertise to help deliver innovative commercial SATCOM capabilities, integrate a transformative COMSATCOM business model into the broader SATCOM enterprise, and translate complex operational needs into effective, affordable solutions. In this role, you will work directly with COMSATCOM customers and stakeholders, providing trusted guidance, insightful analysis, and clear recommendations that drive real-world impact in a rapidly evolving space domain. Job duties include:

• Collect, integrate, and validate COMSATCOM usage, inventory, operational, financial, and capability data from GFI, non-GFI, and other structured and unstructured data sources.
• Develop and maintain predictive models, statistical analyses, and stochastic forecasting methodologies to assess current and future COMSATCOM demand, utilization, capacity, and operational risk.
• Apply advanced analytical and AI/ML techniques — including regression, classification, clustering, anomaly detection, machine learning, deep learning, and generative AI methods — to identify trends, drivers, and decision-relevant insights.
• Leverage DoD-approved AI and generative AI platforms, including genai.mil and equivalent NIPR/SIPR AI environments, to accelerate analytical workflows and support production of executive-ready analytic products; apply responsible AI principles including bias detection, model interpretability, and assumptions documentation.
• Design and implement reproducible analytic workflows, data pipelines, and model validation processes to ensure transparency, traceability, and repeatability; partner with data engineers on pipeline operationalization and production deployment.
• Translate complex operational and business questions into analytical models, simulations, and AI/ML-enabled decision-support tools for USSF CSCO leadership and mission partners.
• Create executive-level visualizations, dashboards, and briefings that communicate complex technical and AI-generated findings to senior stakeholders in an understandable and actionable manner.
• Maintain awareness of global, regional, and situational SATCOM trends and incorporate them into forecasts, scenario analyses, and strategic assessments.
• Support analytic studies with COMSATCOM SMEs, including cost analyses, business case analyses, market research, commercial capability assessments, and courses of action comparisons.
• Develop metrics, analytical frameworks, and model-based decision aids supporting planning, portfolio management, and leadership data calls with speed, accuracy, and traceability.
• Provide technical leadership on data science best practices, AI governance, and model lifecycle management; respond to ad hoc analytic taskings from senior leadership with timely, defensible analyses.

• Minimum of 8 years of experience in data science, data analytics, operations research, computer science, economics, engineering, mathematics, statistics, or a related quantitative field.
• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or a related field.
• Secret Clearance required. #qinetiqclearedjob
• Demonstrated experience applying advanced statistical methods, predictive analytics, and machine learning techniques to real-world operational or business problems.
• Demonstrated experience applying or integrating AI/ML tools, including generative AI or large language model (LLM) applications, in analytic or decision-support workflows.
• Strong proficiency in Python, SQL, and data analysis libraries and tools used for data wrangling, modeling, and visualization.
• Experience developing executive-level visualizations, dashboards, and analytic briefings for senior decision-makers.
• Familiarity with responsible AI principles and model governance standards applicable to DoD or government program environments.
• Strong analytical, problem-solving, and decision-making capabilities.
• Excellent verbal and written communication skills, including the ability to explain technical and AI-generated findings to non-technical audiences.
• Deadline-driven, organized, detail-oriented, and able to operate effectively in a fast-paced environment.
• Ability to support on-site client meetings within the National Capital Region.

• Master's Degree or higher in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related field.
• Experience with DoD-approved AI and generative AI platforms, including genai.mil, or equivalent NIPR/SIPR AI environments.
• Familiarity with large language model (LLM) applications, prompt engineering, and retrieval-augmented generation (RAG) techniques applied to government or defense analytic workflows.
• Experience supporting USG, USSF, DoD, or other national security space programs in analytically intensive environments.
• Familiarity with U.S. Government or DoD acquisition processes, analytic rigor standards, and mission-support decision frameworks.
• Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
• Experience with cloud-based data platforms (AWS GovCloud, Azure Government, Databricks) and ML/MLOps frameworks for model lifecycle management.

The salary range for this role is $135,000- $185,000 USD. The salary range provided is a good faith estimate representative of all experience levels. QinetiQ US considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

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. 1 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.