Data Scientist

Booz Allen Hamilton•Arlington, VA

9d•Onsite

About The Position

Are you excited at the prospect of unlocking the secrets held by data? In an increasingly connected world, massive amounts of structured and unstructured data open-up new opportunities. As a data scientist, you can turn complex data sets into useful information to solve global challenges. We have an opportunity for you to use your analytical skills to improve the U.S. Space Force. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll craft strategies to locate and source datasets, establish met rics and KPIs for leaders, write scripts to analyze data and automate processes for efficiency, and build dashboards using business intelligence tools to make sense of it all. Using the right combination of tools and frameworks to turn sets of disparate data into objective insights, your efforts will enable U.S. Space Force leaders to make data-informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in support of the U.S. Space Force.

Requirements

2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining of structured and unstructured data sources
2+ years of experience with statistical and general-purpose programming languages for data analysis such as Python, R, or SQL, and common data science libraries such as pandas, NumPy, or scikit‑learn
2+ years of experience building clear visualizations and lightweight dashboards in Tableau or Power BI, including advanced analytical expressions and custom to enhance dashboard insight and data model efficiency, and when to prefer code‑based visualization such as Matplotlib or Plotly, for analytical workflows
1+ years of experience applying machine learning methods, including common approaches such as logistic regression, linear regression, decision trees, random forests, and gradient‑boosted models, in a production setting
Experience collaborating with stakeholders to define actionable KPIs, build monitoring metrics, and surface trends and forecasts for leadership
Experience using generative AI tools such as Copilot, ChatGPT, and Gemini, to accelerate code development, enhance content creation and quality, and orchestrate agentic workflows that improve overall mission efficiency
Experience scoping, validating, and contributing to data science solutions in a professional setting, with guidance as needed
Ability to communicate analytical insights, translating technical analyses into clear narratives and use cases for senior government or military stakeholders
Secret clearance
Bachelor’s degree

Nice To Haves

Experience supporting the U.S. Space Force, U.S. Air Force, or another DoD Service
Experience developing natural language processing (NLP) models
Experience developing data strategies or roadmaps, including implementation or action plans, to advance organizational data maturity
Experience mapping data elements and designing data flow diagrams to clarify requirements and align HR, financial, and operational systems
Experience contributing to the development of business development or marketing artifacts such as proposals and whitepapers
TS/SCI clearance
Master’s degree

Responsibilities

Craft strategies to locate and source datasets.
Establish metrics and KPIs for leaders.
Write scripts to analyze data and automate processes for efficiency.
Build dashboards using business intelligence tools to make sense of data.
Provide customer with a deep understanding of their data, what it all means, and how they can use it.