Senior Data Science Advisor

Peraton

5d

About The Position

We are looking to add a Senior Data Science Advisor to the team. This qualified individual will provides technical leadership and advisory support for public health and disease modeling initiatives, serving as a trusted interface between government stakeholders and the contractor’s delivery teams.
This role requires close collaboration with Predict analysts and engineering teams and involves mentoring direct reports to foster continuous learning. The advisor guides analytical strategy, ensures scientific rigor, and supports the operationalization of disease models into robust, open-source software products.

Requirements

• Master’s degree in Science, Statistics, Epidemiology, Applied Mathematics, or Engineering, and 3 years of experience.
• Significant experience applying data science, machine learning, and statistical modeling in operational or production environments.
• Strong proficiency in Python and experience with additional analytical or programming languages.
• Demonstrated ability to work directly with senior stakeholders and translate complex analytical topics into actionable guidance.
• Experience collaborating with software engineering teams to operationalize analytical models.
• Proven experience leading or mentoring technical staff.
• Must be a US Citizen.
• Must be able to obtain and maintain the required agency clearance.

Nice To Haves

• Experience supporting public health, infectious disease forecasting, or epidemiological analytics.
• Familiarity with open-source modeling or analytics initiatives.
• Experience with reproducible research workflows, containerization, or cloud-based analytics.
• Background working in government, regulated, or mission-driven environments.
• Ability to obtain or maintain a government security clearance, if required.

Responsibilities

• Serve as a trusted technical advisor to government stakeholders and a primary conduit between stakeholders and internal technical teams.
• Translate complex analytical and modeling concepts into actionable guidance, ensuring alignment on assumptions, limitations, and outcomes.
• Identify technical risks, tradeoffs, and opportunities, advising on feasible and sustainable analytical solutions.
• Provide leadership in the design, assessment, and operationalization of disease and forecasting models, including reviewing existing implementations for analytical validity, code quality, and reproducibility.
• Apply statistical, machine learning, and epidemiological expertise to support model development, evaluation, and interpretation.
• Collaborate with software engineers to translate analytical models into robust, enterprise-ready, open-source frameworks.
• Define analytical requirements, acceptance criteria, and testing strategies to ensure model outputs are validated, reproducible, and deployable.
• Ensure analytical components are production-ready and prepared for public release, including review, documentation input, and collaboration with external contributors.
• Provide technical guidance and mentorship to data scientists and analysts, ensuring alignment across workstreams and supporting delivery planning using Agile Kanban/Scrum methodology.
• Foster a culture of quality, accountability, and continuous improvement, staying updated on industry trends, services, and best practices, and providing recommendations for continuous improvement.
• Support business operating objectives and contribute to Peraton business growth goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees