Sr Data Scientist
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.