Data Scientist for Space Force Analytics

Booz Allen Hamilton

El Segundo (CA)

On-site

USD 78,000 - 176,000

Full time

14 days+
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Job summary

Booz Allen Hamilton is seeking a Data Scientist to transform complex data into actionable insights for the U.S. Space Force. You will work with stakeholders to define KPIs, source datasets, and build dashboards that enable data-informed decisions.

The role is based in El Segundo, CA, and requires collaboration across teams to deliver production-ready analytics. You will apply ML methods, leverage Python/R/SQL, and use Tableau or Power BI to visualize results.

Qualifications

  • Bachelor’s degree required.
  • 2+ years of data science experience.
  • Proficiency in Python, R, or SQL for data analysis.
  • Experience with data visualization in Tableau or Power BI.
  • 2+ years applying ML methods in production.
  • Experience defining actionable KPIs and dashboards.
  • Familiarity with generative AI tools to accelerate code development.
  • Ability to communicate insights to senior government and military stakeholders.

Responsibilities

  • Explore, clean, and analyze structured and unstructured datasets to reveal insights.
  • Build dashboards and visualizations to support leaders with data-driven decisions.
  • Collaborate with stakeholders to define KPIs, metrics, and monitoring for programs.
  • Develop scalable data science solutions and automate repetitive analyses.

Skills

Data analysis
Python
R
SQL
Tableau
Power BI
Machine learning
KPI development
Generative AI
Stakeholder communication

Education

Bachelor's degree

Tools

Tableau
Power BI
Matplotlib
Plotly

Job description

Booz Allen Hamilton is seeking a Data Scientist to transform complex data into actionable insights for the U.S. Space Force. You will work with stakeholders to define KPIs, source datasets, and build dashboards that enable data-informed decisions.

The role is based in El Segundo, CA, and requires collaboration across teams to deliver production-ready analytics. You will apply ML methods, leverage Python/R/SQL, and use Tableau or Power BI to visualize results.

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