Data Science Lead / Architect
Virginia Beach, VA
Agile Defense
At the forefront of innovation, driving advanced capabilities and solutions tailored to the most critical national security and civilian missions.Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.
Requisition #:996Job Title: Data Architect IV | ExemptJob Title for Careers Page: Data Science Lead / ArchitectLocation: TBD TBD, Virginia 22102Clearance Level: Active DoD - SecretRequired Certification(s):
SUMMARY Agile Defense is seeking a Data Science Lead / Architect to lead the design and implementation of secure, scalable data architectures and AI/ML pipelines across the DRAID CDAO ADA IR program. This role will serve as the technical lead for data science and engineering activities, partnering with product teams, data engineers, mission stakeholders, and technologists to unlock the value of structured and unstructured data in support of national defense priorities.As a Data Science Lead, you will architect advanced data processing and model deployment workflows on platforms such as Databricks, EC2, and Palantir (Apogee), and lead the development of operational AI capabilities for Combatant Commands and Joint Staff. You will apply DevSecOps principles, build trusted pipelines, support ontology alignment, and drive the adoption of reusable models and MLOps practices across distributed teams. This role requires a strong foundation in statistical modeling, applied machine learning, and cloud-native architectures, combined with a leadership mindset and a track record of delivering real-world outcomes. You will also serve as a key mentor and capability-builder within Agile Defense’s data practice, helping scale data-driven decision-making across the Department of Defense.JOB DUTIES AND RESPONSIBILITIES· Objective 1: Architect and Implement Scalable Data and AI Systems
· Lead the design and development of secure data architectures that support AI/ML operations in production environments.· Oversee development and deployment of data ingestion pipelines and feature engineering workflows using tools like Databricks and Spark.· Define standards for data cataloging, lineage, compliance, and continuity across DoD-hosted environments.· Ensure system interoperability, availability, and integration across enterprise platforms (e.g., Apogee, Cliq, Tableau).
· Objective 2: Lead Technical Execution of Mission-Critical AI Projects
· Guide the full lifecycle of AI initiatives from scoping and prototyping to operational deployment and monitoring.· Manage CI/CD pipelines and model versioning using DevSecOps best practices.· Apply reproducible workflows for unit testing, source control, and model retraining, ensuring models remain current and auditable.· Support ingestion of multimodal data sources, including sensor data, text, geospatial, and time series data.
· Objective 3: Provide Technical Leadership and Mentorship
· Serve as the primary technical mentor for a cross-functional team of data scientists, engineers, and analysts.· Conduct regular reviews of modeling approaches, infrastructure decisions, and integration plans.· Define reusable architecture patterns and templates to accelerate capability delivery.· Support onboarding and skills development through internal knowledge-sharing and paired problem-solving.
· Objective 4: Collaborate with Stakeholders to Translate Mission into Models
· Work directly with ADA/IR stakeholders to understand decision workflows and operational data gaps.· Facilitate stakeholder engagement to prioritize model objectives and interpretability requirements.· Partner with product managers and system engineers to ensure AI solutions are technically feasible, ethically responsible, and aligned with mission goals.· Produce clear technical documentation, failover strategies, and model performance summaries for leadership audiences.· Document failover/continuity of operations plans for data systems.· Document existing data ontologies and data types in use at organizations encountered in development tasking and indicate availability for reuse.· Document and understand organization Data Science (DS) & Artificial Intelligence (AI) training programs. Provide ongoing tailored and on demand training to organization personnel on the technology stacks employed by the commands.
· Objective 5: Advance Agile Defense’s AI/ML Capability and Visibility
· Contribute to the growth of Agile Defense’s data science practice by developing public-facing demonstrations, templates, and reusable components.· Collaborate with BD and capture teams to define technical strategies for future AI/ML engagements.· Support internal communities of practice and external conferences by sharing novel use cases and lessons learned.· Contribute to open-source or federated data science efforts where aligned with security and mission constraints.QUALIFICATIONS Required Certifications
Education, Background, and Years of Experience· Advanced degree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) + 2 or more years equivalent professional or more years equivalent professional or military experience.
· or
· BA/BS dedegree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) + 6 years of industry experience in predictive modeling, data science, and analytics.ADDITIONAL SKILLS & QUALIFICATIONS Required Skills· Experience designing and architecting Artificial Intelligence and Data Science solutions using algorithmic and quantative methods to meet predictive analytics needs of an organization.· Experience Performing analysis and processing of data into feature sets for Data Science and Artificial Intelligence applications.· Experience training and maintaining algorithmic AI models.· Experience collecting metrics and developing methods for quantative measurements of algorithmic predictive power.Preferred Skills· Experience developing and authoring organizational standards and guidelines for security and the ethical use of AI.· Experience developing and authoring organizational standards for integration of AI models into software solutions that meet organizational needs.· Experience with MAVEN Smart Systems or similarWORKING CONDITIONS Environmental Conditions· Contractor site with 0%-10% travel possible. Possible off-hours work to support releases and outages. General office environment. Work is generally sedentary in nature, but may require standing and walking for up to 10% of the time. The working environment is generally favorable. Lighting and temperature are adequate, and there are not hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.Strength Demands· Sedentary – 10 lbs. Maximum lifting, occasional lift/carry of small articles. Some occasional walking or standing may be required. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.Physical Requirements· Stand or SitEmployees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section.
Happy - Be Infectious.Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive.Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy.Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded.Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
Hungry - Be Eager.Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
Hustle - Be Driven.Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture CI/CD Computer Science Databricks EC2 Engineering Feature engineering Machine Learning Mathematics Maven MLOps Model deployment Open Source Pipelines Predictive modeling Prototyping Research Security Spark Statistical modeling Statistics Tableau Testing Unstructured data
Perks/benefits: Career development Conferences Team events
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