Description
Data Science Product Owner
As a Data Science Product Owner, you will assist a Data Science Team in delivering advanced data science and machine learning capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights. Our team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models.
Location:Bethesda, MD
Clearance:Top Secret w/ Poly
Responsibilities:
- Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
- Provide a single point of contact for the D3P Data Science Team with government customers and stakeholders. Participate in requirements sessions, briefings, and status meetings.
- Develop, manage and continually improve the backlog of work items for an Agile scrum team. Update and prioritize stories and epics via feedback from various program stakeholders ensuring the team is always working on the highest-value tasks.
- Provide technical support, coordination, and execution of product owner activities such as feature/requirements analysis, design, implementation planning, integration and test, sustainment, documentation, deployment, and system assessment.
- Support Scaled Agile Framework (SAFe) program increment planning and execution through creation of work tickets as well as program/system documentation using collaboration software. Participate in all Agile ceremonies to include daily stand up, planning, reviews, and retrospectives.
- Stay informed of increment and sprint progress and work with the team to identify and remove impediments and dependencies.
- Perform backlog refinement on a regular basis. This may include decomposing features into workable stories, prioritizing or reprioritizing items in the backlog for upcoming sprints, refining acceptance criteria and complexity estimates or removing tickets that are no longer relevant.
- Accept or reject completed work based on defined acceptance criteria to ensure delivery of high-quality software.
Minimum Requirements:
- BS Degree and 12-15 years of prior experience or Masters with 10-13 years of prior relevant experience in a quantitative or analytical field such as Engineering, Computer Science, Systems Engineering, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science or related field.
- 10+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes.
- Must have an active TS/SCI with polygraph security clearance.
- Experience as a Product Owner, Scrum Master or a similar role in an Agile software development team.
- Demonstrated ability to break down complex problems into actionable steps.
- Experience managing and prioritizing product backlogs effectively.
- Strong understanding of Agile methodologies, and experience with tools for ticketing and documentation (e.g., Gitlab, Jira, Confluence).
- Experience with facilitating scrum for the team (Planning, Retrospective, Grooming & Review/Demo)
- Excellent communication skills (verbal and written) to articulate technical and non-technical concepts to diverse audiences.
- Proven ability to work cross-functionally with engineering, design, and project management teams.
- Demonstrated ability to manage expectations and maintain strong relationships with stakeholders.
Preferred Qualifications:
- Experience with systems at scale
- Experience/knowledge of key Agile processes and techniques
- Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.
- Experience on a production/ enterprise system
- Experience with any of the following technologies:
- Kafka or other message passing systems (AMQP, JMS)
- Kubernetes monitoring, e.g., Prometheus/ Graphana
- GPU-based Kubernetes
- SALT for deployment automation
- Helm and Helmfile
- Nexus
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Xcelerate Solutions
Jun 26, 2025