Lead Data Scientist
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Internship
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor’s degree in computer science, Data Science, Statistics, Applied Mathematics, Operations Research, Information Systems, or a related field with 8 years of relevant experience, or a master’s de
- Hands-on experience applying statistical analysis and machine learning techniques to real-world problems, including developing, validating, and evaluating models or analytic solutions.
- Programming proficiency in Python or R, with experience using SQL to access, prepare, and analyze data.
- Experience working with complex datasets and developing reproducible data preparation, analysis, and modeling workflows.
- Ability to rapidly understand unfamiliar mission problems and translate them into analytical questions and technical approaches.
- Strong systems thinking and analytical problem-solving skills.
- Experience integrating commercial, government, and open-source data or technologies to solve operational problems.
- Ability to analyze complex technical information and communicate findings, limitations, and recommendations clearly to technical and non-technical audiences.
- Strong written and verbal communication skills.
- Experience collaborating with multidisciplinary teams and stakeholders and leading technical tasks or analytic efforts.
- Must have an active Secret U.S Government issued Security Clearance and must be eligible to obtain and maintain a Top Secret/SCI U.S Government issued Security Clearance. Per the U.S. Government’s eli
- This position requires a minimum of 4 days a week on-site
Nice to have
- Master’s degree or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Information Systems, or a related field.
- Active DoD Top Secret / SCI clearance.
- Prior experience as a Data Scientist, Applied Scientist, Machine Learning Engineer, or Data Engineer supporting U.S. government organizations.
- Knowledge of military intelligence, operations, or logistics and related data processes and systems used or relied upon by Combatant Commands.
- Recent experience working with multi-domain data, including publicly available information, commercially available information, traditional intelligence, and operational data, and its preparation, int
- Experience developing and evaluating advanced machine learning or AI capabilities, including foundation model integration, retrieval-augmented generation, domain adaptation, or multimodal analysis.
- Experience working with advanced data architectures and scalable analytical environments, including lakehouse platforms, distributed processing, vector databases, and cloud, hybrid, or restricted-netw
- Experience transitioning analytic prototypes or machine learning models into operational use, including reproducibility, deployment evaluation, performance monitoring, and collaboration with engineeri
- Experience applying data quality, governance, responsible AI, and data or model provenance practices to support trustworthy analytic outputs.
- Experience mentoring technical staff, reviewing analytical methods and software, and guiding multidisciplinary teams through complex data science efforts.
Full description
At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future.
MITRE’s Systems Engineering Analytics department is looking for qualified applicants to bring their advanced data science, machine learning, AI, and data engineering skills to bear on solving problems of critical national importance. MITRE’s diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as national security, intelligence, transportation, and healthcare. Employees may also participate in MITRE’s internal research and development program, which provides funding for innovative applied research that addresses our sponsors’ hardest problems.
Roles & Responsibilities:
The successful candidate for this position is a Data Scientist who combines strong foundations in statistical analysis, machine learning, AI, and software development with hands-on experience preparing and analyzing complex data, developing and evaluating models, and delivering analytic capabilities to solve mission problems. Our organization values innovation and believes that keeping up with the latest research and technologies is essential.
The Data Scientist will help our government sponsors develop and evaluate technical approaches and implementation plans supporting the adoption of data-driven capabilities across the national security community. The Data Scientist will contribute to data and analytics strategies, assess the suitability of data, models, and supporting architectures for mission applications, and provide evidence-based decision support.
The successful candidate will serve as a trusted technical advisor and may act as a technical point of contact for government sponsors within assigned projects. The candidate will be expected to develop clear, concise, and actionable deliverables, communicate complex technical concepts and analytic findings to decision makers, and align data science and AI capabilities with mission needs. The candidate will also lead technical efforts, mentor colleagues, and collaborate with engineering teams to transition analytical approaches into operational capabilities.