Sr Data Scientist

Xenith Solutions; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Xenith Solutions is seeking a Data Scientist to apply statistical analysis, data processing, and visualization to extract insights and support data-driven decisions. You will clean and transform data, build models, and deliver dashboards that communicate findings to stakeholders in a secure, governance-minded environment.

The role requires proficiency in Python or similar languages, plus experience with SQL, cloud-native tools, and collaboration across teams to align data solutions with mission

Qualifications

• Proficiency in one or more of the following: C++, Python or Java.
• Proficiency with Docker (or Podman) and Helm for application packaging and deployment.
• Experience deploying and configuring applications within Kubernetes (ingress rules, Cert manager, persistent storage).
• Proficiency with Git based workflows (Bitbucket/GitHub/GitLab).
• Familiarity with the Atlassian Suite (Jira, Confluence, Bitbucket).
• Experience with Agile software development practices including build automation, testing automation, pair programming, and code management.
• Experience supporting configuration management and software release processes.
• Experience with Linux (i.e. RHEL) and comfortable with the command line.

Responsibilities

• Apply statistical analysis, data processing, and visualization to extract insights from complex datasets.
• Clean, transform and analyze structured and unstructured data to identify trends and KPIs.
• Develop data models, optimize queries, and create dashboards or reports for stakeholders.
• Collaborate with stakeholders to ensure data solutions align with organizational goals.
• Maintain data integrity and adhere to security and governance best practices.

Skills

C++

Python

Java

Docker

Kubernetes

Git workflows

Jira/Confluence

Linux

Tools

FastAPI

Flask

Spring Boot

Kafka

RabbitMQ

PostgreSQL

Redis

Longhorn

Job description

Xenith Solutions is a small family focused business where we focus on taking care of our employees and customers equally. We are focused on serving Federal / Civilian, Defense and Intelligence organizations with superior service. If you want to be a part of a rapidly growing business with an exceptional culture, then you want to be a part of the Xenith Solutions family.

Overview:

The Data Scientist applies statistical analysis, data processing, and visualization techniques to extract insights from complex datasets, supporting data-driven decision-making. They clean, transform, and analyze structured and unstructured data to identify trends, patterns, and key performance indicators. Using programming languages like Python, R, and SQL, they develop data models, optimize queries, and create dashboards or reports to effectively communicate findings. The Data Scientist collaborates with stakeholders to understand business or mission objectives, ensuring data solutions align with organizational goals. They also maintain data integrity, adhere to security protocols, and implement best practices for data governance and compliance.

Core Requirements:

• Proficiency in one or more of the following: C++, Python or Java
• Proficiency with Docker (or Podman) and Helm for application packaging and deployment.
• Experience deploying and configuring applications within Kubernetes. (i.e. the ability to define ingress rules for traffic routing, utilize Cert manager for SSL/TLS, and interface with persistent storage (e.g. Longhorn))
• Proficiency with Git based workflows (Bitbucket/GitHub/GitLab)
• Familiarity with the Atlassian Suite (Jira, Confluence, Bitbucket)
• Experience with Agile software development practices including build automation, testing automation, pair programming, and code management
• Experience supporting configuration management and software release processes.
• Experience with Linux (i.e. RHEL) and comfortable with 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 principals with a focus on building for scalability, high availability, and fault tolerance.