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Job Description

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.

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