Sr Data Scientist

Xenith Solutions; Reston (VA); On-site; USD 150,000 - 175,000; Full time

Job summary

Xenith Solutions in Reston, VA seeks a Senior Data Scientist to turn complex datasets into actionable insights through statistical analysis, modeling, and interactive dashboards. You will work with both structured and unstructured data, build scalable data solutions, and partner with stakeholders to align data work with business goals.

The role emphasizes data governance, security, and collaboration across cross-functional teams.

Qualifications

• Proficiency with C++, Python, or Java.
• Experience with Docker and Helm for packaging/deployment.
• Experience deploying within Kubernetes with ingress rules and SSL/TLS.
• Git-based workflows using Bitbucket, GitHub, or GitLab.
• Familiarity with Jira, Confluence, and Bitbucket.
• Experience with Agile software development practices.
• Experience supporting configuration management and release processes.
• Experience with Linux (RHEL) and command line.

Responsibilities

• Use statistical analysis, data processing, and visualization to extract insights.
• Clean, transform, and analyze structured and unstructured data to surface trends.
• Develop data models, optimize queries, and produce dashboards/reports.
• Collaborate with stakeholders to align data solutions with goals.
• Maintain data integrity by following security and governance practices.

Skills

C++

Python

Java

Linux CLI

Agile

Tools

Docker

Helm

Kubernetes

Ingress Rules

Cert manager

Longhorn

Git

Bitbucket

GitHub

GitLab

Jira

Confluence

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.