Quality Engineering Manager

CALIBRE Systems, inc., an employee‑owned Management Consulting and Digital Transformation company is seeking an experienced Data Scientist to work with a data team driving advanced analytics initiatives used in the Army cost analysis and budgeting processes. This Data Analyst /Scientist will assist with overseeing the development, implementation, and execution of project plans, ensuring scope and schedule are established for projects and assignments, and assisting with the operating plan and resource allocation for the group, including prioritization and staff deployment.

This is a hands‑on technical role where you will be responsible for delivering end‑to‑end analytics, from understanding the business challenges to presenting insights to wide‑ranging business and technical audiences.

As a CALIBRE Data Scientist, you will have the opportunity to research and experiment with innovative new techniques in data visualization, machine learning, statistics, and operations research in a cloud environment. The ideal candidate must be passionate about helping others solve problems, gain insights, and make decisions using data.

• Must have or be able to obtain and maintain a DoD Secret security clearance
• Must have or be able to obtain and Security+ certification
• Must be a lifelong learner, willing to share and grow the knowledge of those around them
• Strong qualitative and quantitative analysis skills
• Ability to provide technical leadership and broad subject matter expertise on cutting‑edge computational, quantitative, and algorithmic techniques applicable to data science
• Ability to work independently and as part of a team on a large fast‑paced project
• Experience curating relationships and disseminating work between cross‑functional teams of data scientists, data engineers and application developers
• Ability to oversee the entire lifecycle of projects, including: scoping, design, modeling, validation, deployment
• Experience building predictive and prescriptive models and simulations
• Experience with data cleaning, model testing, results presentation and documentation
• Advanced ability in one or more programming languages for data analysis such as R or Python
• Experience with data visualization tools such as Tableau, QLIK or Quicksight
• Ability to evaluate open‑source and vendor‑based tools, applications, platforms, frameworks and programming languages
• Exceptional communications skills with ability to present to technical and business audiences, including executive‑level customers

Education/

Experience:

BS/BA in a related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of the individual may be substituted.)

Minimum of 3 years professional work experience providing data analytics services. CDFM, CCEA, DAWIA or other relevant certification preferred.