Senior Data Analyst at CALIBRE Systems Inc – Alexandria, Virginia

Senior Data Analyst
HLS 5255-585

CALIBRE Systems, Inc., an employee-owned mission focused solutions and digital transformation company, is looking for a highly motivated Senior Data Scientist to join our dynamic team supporting a federal client. This role requires an innovative and collaborative mindset, with the ability to work closely with designers, back-end engineers, and business stakeholders to deliver high-quality, scalable digital solutions.

The budgeted salary for this role is $150,000 per year.

Responsibilities include, but are not limited to:

· Collect and analyze statistics and information from multiple sources to identify trends and provide actionable insights that give the organization a competitive advantage.

· Define success metrics for analytical initiatives and manage the end‑to‑end lifecycle of deployed models.

· Communicate informed conclusions and recommendations across the organization’s leadership structure.

· Strategize and identify unique opportunities to locate and collect new data; explore and mine data from multiple angles to determine meaning and business impact.

· Present data findings to both business and IT leaders to influence organizational strategies for addressing evolving customer needs and market changes.

· Discover and recommend new uses for existing data sources; design, modify, and build new data processes.

· Build large, complex datasets and develop scalable data research solutions on and off the cloud.

· Conduct statistical modeling, experiment design, and validate predictive models.

· Develop advanced data visualizations and dashboards to communicate insights effectively.

· Develop, train, and validate predictive models using established machine learning techniques.

· Use data science techniques to solve analytical problems with incomplete datasets and implement automated processes for producing scalable models.

· Collaborate with database engineers and other scientists to refine and scale data management and analytics workflows, systems, and best practices.

· Train data management teams and more junior data scientists on updated procedures and write quality documentation.

· Lead ML engineering efforts, including feature design, model selection, and performance optimization.

· Define model lifecycle requirements (evaluation, retraining criteria, and acceptance thresholds).

· Partner with Data Engineering to ensure models are production‑ready and reliable.

Define success metrics for analytical initiatives and manage the end‑to‑end lifecycle of deployed model
Lead ML engineering efforts, including feature design, model selection, and performance optimization. Define model lifecycle requirements (evaluation, retraining criteria, and acceptance thresholds).

Partner with Data Engineering to ensure models are production‑ready and reliable.

· Expertise in data visualization tools and techniques (e.g., Tableau, Power BI, D3.js).

· Strong proficiency in statistical analysis and predictive modeling

· Advanced knowledge of data governance principles, including compliance and security standards.

· Ability to communicate complex technical insights to non-technical stakeholders using clear visualizations and storytelling.

· Strong collaboration skills for working with cross-functional teams and leadership.

· Ability to properly handle and mask sensitive healthcare data to meet Federal data compliance standards

· Basic working knowledge (i.e. ability to understand, speak about, and participate in solutioning) of the following domains: Data privacy (specifically PII/PHI), the software development life cycle, Federal data policies, the Tricare Military Health System

· Advanced degree (Master’s or Ph.D.) in Data Science, Computational Science, Statistics, or a related field.

· Extensive experience in quantitative research, statistical modeling, and predictive analytics.

· Proven ability to manage complex data-centric projects, specifically within federal or regulated environments.

· 5+ years of experience working with Federal agencies (preferably healthcare and/or data-centric projects)

· Experience with AWS cloud-based data solutions and scalable architectures (AWS Certification Preferred)

· Active Secret Clearance at the Department of Defense (or eligibility to obtain a clearance)

· Ability to work east coast business hours (8am-5pm)

· Active Security+ certification

Remote (Worldwide)

Full-Time/Regular

Equal Opportunity Employer, including disability/protected veterans