Data Scientist (DoD Analytics) with Secret Clearance

Kalman-; Arlington (VA); On-site; USD 120,000 - 140,000; Full time

Job summary

Kalman & Company is seeking a highly motivated data analytics professional to work with our Department of Warfare (DoW) clients in the Arlington, VA area. The role focuses on collecting, analyzing, and communicating information to support data-driven decisions for major DoW studies.

You will collaborate with engineers, analysts, and logisticians to develop analytics solutions, reports, and predictive models, leveraging tools like Power BI, Python, and R.

Qualifications

• Active Secret Security Clearance.
• Bachelor’s degree in a Quantitative Field (Math, Stats, Economics, Analytics, CS).
• 5+ years of data analytics experience.
• Knowledge of DoW acquisition, PPBE processes and DoW decision analysis experience.
• Strong quantitative and analytical skills with ability to synthesize inputs into insights.
• Excellent written and oral communication and presentation skills.
• Proficiency with data tools: Access, Excel, Power BI, Tableau, Databricks.

Responsibilities

• Collaborate with stakeholders to gather requirements and deliver data-driven analyses.
• Develop and maintain reports and dashboards using Python, R, Excel and Power BI.
• Build and manage organization-wide BI solutions and data pipelines.
• Document data profiling, QA results, data dictionaries, and analytics findings.
• Apply statistical techniques to produce ad-hoc and periodic client reports.
• Communicate insights effectively to government stakeholders and partners.

Skills

Data analytics

Communication

Quantitative skills

Presentation skills

Team collaboration

Education

Bachelor’s degree in a quantitative field

Tools

Power BI

Python

R

Excel

Tableau

Databricks

Access

Job description

Kalman & Company is seeking a highly motivated data analytics professional to work with our Department of Warfare (DoW) clients in the Arlington, VA area. The role focuses on collecting, analyzing, and communicating information to support data-driven decisions for major DoW studies.

You will collaborate with engineers, analysts, and logisticians to develop analytics solutions, reports, and predictive models, leveraging tools like Power BI, Python, and R.