Lead Data Scientist
CALIBRE Systems, Inc. · Alexandria, VA · 2 wk ago
EngineeringFull-time
Lead Data Scientist
About the role
CALIBRE Systems inc, an employee-owned mission-focused solutions and digital transformation company, seeks a Lead Data Scientist to provide senior-level technical and management leadership in support of a federal civilian government agency. This role will guide the design, development, implementation, and oversight of advanced data science, analytics, artificial intelligence, and machine learning operations that enhance decision-making and mission performance.Responsibilities
- Provide technical and management leadership for major data science, analytics, and technology assignments supporting federal civilian mission objectives.
- Establish project goals, technical plans, analytical approaches, and implementation roadmaps that align with agency priorities, contract requirements, and stakeholder expectations.
- Apply expert knowledge of data science methods, data management practices, model evaluation, governance, and quality assurance to ensure solutions are reliable and fit for purpose.
- Direct and control project activities for the client, with responsibility for technical execution, financial management, staffing, methods, schedule performance, risk management, and overall delivery quality.
- Interface with senior government leaders, contracting representatives, program managers, technical teams, and other stakeholders to communicate progress, resolve issues, negotiate priorities, and support informed decision-making.
- Evaluate agency data assets, business processes, and mission requirements to identify opportunities for automation, analytics modernization, operational improvement, and responsible use of emerging technologies.
- Mentor and supervise data scientists, analysts, engineers, and other technical staff as needed, ensuring team members apply sound methods and deliver high-quality work products.
- Prepare briefings, technical documentation, analytical reports, executive summaries, and recommendations for a diverse range of stakeholders and cross-functional teams.
- Present findings and recommendations to stakeholders at various levels of seniority, including members of Congress.
Requirements
- PhD in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, or a closely related field.
- 15+ years of relevant experience leading complex data science, analytics, technology, or mission-support programs.
Qualifications
- Demonstrated experience providing technical leadership, project direction, stakeholder engagement, and team oversight in a client-facing environment.
- Experience translating complex technical concepts into clear, actionable guidance for executive, technical, and non-technical audiences.
- Ability to manage competing priorities, assess risks, make sound technical decisions, and deliver high-impact solutions in support of mission-critical objectives.
- Experience supporting federal civilian government agencies, public-sector missions, or regulated government environments.
- Familiarity with federal data strategies, data governance practices, privacy requirements, information security expectations, responsible AI principles, and accessibility considerations.
- Experience with cloud-based analytics platforms, enterprise data environments, big data technologies, and modern data visualization tools.
- Experience leading integrated teams that include data scientists, data engineers, analysts, business stakeholders, program managers, and IT personnel.
- Knowledge of federal acquisition, contract delivery, performance reporting, and client relationship management practices.
Skills
- Expertise in data science methods, data management practices, model evaluation, governance, and quality assurance.
- Strong communication and stakeholder engagement skills.
- Ability to manage multiple projects and prioritize tasks effectively.
- Experience with cloud-based analytics platforms, enterprise data environments, big data technologies, and modern data visualization tools.
- Experience leading integrated teams that include data scientists, data engineers, analysts, business stakeholders, program managers, and IT personnel.
- Knowledge of federal acquisition, contract delivery, performance reporting, and client relationship management practices.