Sr Data Scientist

The Sr Data Scientist role at Xenith Solutions applies statistical analysis, data processing, and visualization to turn complex datasets into actionable insights that support data-driven decision-making. The position includes building models and dashboards, working with structured and unstructured data, and partnering with stakeholders while upholding data integrity, security, and governance/compliance.

Key Responsibilities

• Use statistical analysis, data processing, and visualization techniques to extract insights from complex datasets, enabling data-driven decision-making.
• Clean, transform, and analyze both structured and unstructured data to surface trends, patterns, and key performance indicators.
• Develop data models, optimize queries, and produce dashboards or reports to communicate findings effectively.
• Collaborate with stakeholders to understand business or mission objectives and align data solutions with organizational goals.
• Maintain data integrity by following security protocols and applying best practices for data governance and compliance.

Required Qualifications

• Proficiency in one or more of: C++, Python, or Java .
• Proficiency with Docker (or Podman ) and Helm for application packaging and deployment.
• Experience deploying and configuring applications within Kubernetes , including defining ingress rules for traffic routing, using Cert manager for SSL/TLS, and interfacing with persistent storage (e.g., Longhorn ).
• Proficiency with Git -based workflows using Bitbucket, GitHub, or GitLab.
• Familiarity with the Atlassian Suite including Jira , Confluence , and Bitbucket .
• Experience with Agile software development practices such as build automation, testing automation, pair programming, and code management.
• Experience supporting configuration management and software release processes.
• Experience with Linux (e.g., RHEL) and comfort working from the command line.

Preferred Qualifications

• Experience managing the full lifecycle of distributed microservices in a production environment.
• Experience building scalable RESTful APIs using frameworks such as FastAPI , Flask , or Spring Boot .
• Experience implementing asynchronous, event-driven architectures using Kafka or RabbitMQ .
• Experience optimizing PostgreSQL for high-volume data and using Redis for distributed caching and state management.
• A deep understanding of cloud-native principles with a focus on scalability, high availability, and fault tolerance.

Technologies

• Python, R, SQL, C++, Java
• Docker, Podman, Helm, Kubernetes, Cert manager, Longhorn
• Git, Bitbucket, GitHub, GitLab
• Jira, Confluence, Atlassian Suite
• Linux, RHEL
• FastAPI, Flask, Spring Boot
• Kafka, RabbitMQ
• PostgreSQL, Redis

Location and Compensation

Location: Reston, VA (onsite).
Salary: USD 150,000 - 175,000 per year.