Senior Data Analyst

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.

Salary: $150,000 per year.

Responsibilities:

• 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.

Required Skills:

• 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 of data privacy (PII/PHI), the software development life cycle, Federal data policies, and the TRICARE Military Health System.

Required Experience:

• 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 (8 am‑5 pm).
• Active Security+ certification.

Equal Opportunity Employer: CALIBRE and its subsidiaries are an Equal Opportunity Employer and supports transitioning service members, veterans, and individuals with disabilities. We offer a competitive salary and full benefits package. To be considered, please apply via our website at Join our dynamic team.