Data Scientist: Production Analytics & Decision Support

CALIBRE Systems, Inc.; Arlington (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

CALIBRE Systems, Inc. in Arlington, VA seeks an experienced Data Scientist to drive advanced analytics for Army analysis and budgeting.

You will deliver production-ready data products, analytics, and decision-support applications using Army Vantage and DoW War Data Platform capabilities. This hands-on role partners with mission owners, data stewards, engineers, analysts, and platform teams to ingest, clean, transform, model, and visualize data; build scalable pipelines and reusable analytics;

Qualifications

• Bachelor's degree required or equivalent experience in a quantitative field.
• Experience building production-grade analytics and data products.
• Strong skills in data wrangling, modeling, and governance.

Responsibilities

• Ingest, profile, clean, transform, and integrate structured and unstructured data.
• Build and maintain scalable data pipelines and curated datasets.
• Develop dashboards and user-facing applications using Vantage/Foundry, Power BI, Tableau, or equivalents.
• Apply data-governance, security, and release practices.
• Collaborate with mission owners, data stewards, engineers, analysts, and platform teams.
• Communicate findings clearly to technical and nontechnical stakeholders.

Skills

Python

SQL

PySpark

Data modeling

Dashboarding

Agile

Stakeholder management

Education

Bachelor's degree in a relevant field

Tools

Vantage/Foundry

Power BI

Tableau

Job description

CALIBRE Systems, Inc. in Arlington, VA seeks an experienced Data Scientist to drive advanced analytics for Army analysis and budgeting.

You will deliver production-ready data products, analytics, and decision-support applications using Army Vantage and DoW War Data Platform capabilities. This hands-on role partners with mission owners, data stewards, engineers, analysts, and platform teams to ingest, clean, transform, model, and visualize data; build scalable pipelines and reusable analytics;