
Requisition #
R71142
Locations
USA-VA-Arlington, USA-NC-Raleigh
Posting Date
10/06/2026
Security Clearance Required
None
Remote Type
Hybrid
Time Type
Full time
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH!
MANTECH seeks a motivated, career and customer-oriented Senior/Lead Data Scientist to join our team, with the ability to work in a hybrid capacity, spending 2 days per week at a local MANTECH office in Raleigh, NC, Arlington, VA, or Charlottesville, VA.
The Senior/Lead Data Scientist will apply their strong technical background in Python and expertise in advanced AI/ML solutions to (1) design, develop, and validate marketing mix models or other causal models, (2) build LLM-powered MVP-type applications and tools, and (3) contribute to or lead other general data science projects. You will translate complex data into actionable insights while working closely with both technical and non-technical stakeholders in a hybrid work environment (2 days per week on-site at a MANTECH office).
· Developing, testing, and validating marketing mix models (MMM) or other causal models, where standard model fit metrics alone are insufficient.
· Rapidly prototyping and building production-ready MVPs using Python, Snowflake, Microsoft Copilot, and other components.
· Engaging directly with technical and non-technical clients to understand business requirements and translate them into actionable analytical solutions.
· Establishing or communicating best practices for modeling and data science to ensure model accuracy, reliability, and business impact across complex data environments.
· Collaborating across multi-disciplinary teams to drive data science best practices and communicate technical findings to customer leadership.
· Bachelor’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field with 4+ years of progressively responsible experience in data science and machine learning.
· Proven hands-on experience building and deploying tools or systems in Python that make use of generative AI (e.g., RAG pipelines, agentic workflow, or similar using Python).
· Demonstrated expertise in building and validating marketing mix modeling (MMM) or other causal models.
· Excellent interpersonal and communication skills with a proven track record of working directly with technical and non-technical clients.
· Master’s Degree or Ph.D. in a quantitative field with 7 to 8+ years of relevant data science experience.
· Deep technical background in advanced causal inference, experiment design, or econometrics.
· Experience leading technical teams or acting as a primary liaison between customer stakeholders and engineering groups.
· Experience with the R programming language in data science or statistics.
· Self-starter with excellent people skills - able to work across teams, organize meetings/boards, and drive change throughout an organization.
US citizenship required.
Must be able to remain in a stationary position 50%.
Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
The projected compensation range for this position is $105,300.00-$175,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

MANTECH is more than a technology company. We are a company dedicated to service, and we consider our work a part of the public trust. The people of MANTECH are privileged to work for the security of the United States, the welfare of our service members and veterans, the protection of our communities, and the cause of better health care.
We have served the nation for more than 57 years, and in that time we have continually changed and grown to provide the technology that government needs to meet new challenges. We seek people with the same strong ethic of service, creativity, energy, and dedication to serving our country.
We are comprised of more than 9,800 talented employees around the world. Nearly 40% of our employees are veterans. Many others come from the Intelligence Community, Homeland Security and federal civilian agencies. We understand our customers’ challenges because we know their world firsthand.
When Federal managers and military leaders face tough challenges in cyber, data collection & analysis, enterprise IT or systems and software engineering, they turn to MANTECH to get the job done right. These professionals trust MANTECH and stay with us for years because we understand their needs and tackle their most complex challenges head on. They know that reaching their goal is our ultimate objective.