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Senior Data Scientist (Business Operations)QinetiQ U.S. • United States
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Senior Data Scientist (Business Operations)

QinetiQ U.S.
  • US
    United States
  • US
    United States
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Über

Senior Data Scientist (Business Operations)
Job Locations
5 hours ago(5/8/2026 2:54 PM)
Job ID
2026-12111
Posted Date
Data Analytics
Job Location
US-MD-Fort Meade
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
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 trans-formative 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: Responsibilities
Collect, integrate, and validate COMSATCOM usage data, inventory data, and related operational, financial, and capability data from Government Furnished Information (GFI), non-GFI, and other structured and unstructured data sources.
Develop and maintain predictive models, statistical analyses, and forecasting methodologies to assess current and future COMSATCOM demand, utilization, and operational risk. Apply advanced analytical techniques, including regression, classification, clustering, anomaly detection, and other machine learning methods, to identify trends, drivers, and decision-relevant insights. Design and implement reproducible analytic workflows, data pipelines, and model validation processes to ensure transparency, traceability, and repeatability of analytic products. Conduct exploratory data analysis, feature engineering, and data quality assessments to evaluate completeness, consistency, bias, and statistical significance in support of leadership decisions. Translate complex operational and business questions into analytical approaches, models, simulations, and decision-support tools for USSF CSCO leadership and mission partners. Create clear, executive-level visualizations, dashboards, and briefings that communicate complex technical findings to senior stakeholders in an understandable and actionable manner. Maintain awareness of global, regional, and situational trends affecting SATCOM and COMSATCOM demand, and incorporate those factors into forecasts, scenario analyses, and strategic assessments. Support analytic studies led by COMSATCOM Subject Matter Experts (SMEs), including cost analyses, business case analyses, market research, commercial capability assessments, and courses of action comparisons. Collaborate with USSF program offices, operators, engineers, financial managers, acquisition personnel, and commercial providers to align data science solutions with mission and business needs. Pull, normalize, and analyze data from multiple systems and formats, including databases, spreadsheets, collaboration tools, and reporting platforms. Develop metrics, analytical frameworks, and model-based decision aids to support planning, portfolio management, and leadership data calls with speed, accuracy, and traceability. Provide technical leadership on data science best practices, analytic rigor, and model governance, including assumptions documentation, performance monitoring, and continuous improvement. Respond to ad hoc analytic taskings from senior leadership with timely, defensible, and mission-relevant analyses. Required Qualifications
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 related field. Secret Clearance required. #qinetiqclearedjob Demonstrated experience applying advanced statistical methods, predictive analytics, and machine learning techniques to real-world problems. Strong proficiency in Python, SQL, and data analysis libraries/tools used for data wrangling, modeling, and visualization. Experience developing executive-level visualizations, dashboards, and analytic briefings for senior decision-makers. Strong analytical, problem-solving, and decision-making capabilities. Excellent verbal and written communication skills, including the ability to explain technical 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 Preferred Qualifications
Master's Degree or higher in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or related field. Experience supporting USG, USSF, Department of War (DoW), or other national security space programs, particularly in analytically intensive environments. Familiarity with U.S. Government or DoW acquisition processes, analytic rigor standards, and mission-support decision frameworks. Experience with Power BI, Tableau, or similar business intelligence and visualization platforms. Experience with business models, billing processes, market analysis, and data-driven portfolio or resource optimization. Ability to work independently and collaboratively as part of a high-performing team supporting senior government stakeholders.
Pay Transparency
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. 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 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.
  • United States

Sprachkenntnisse

  • English
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