Data Scientist

Location: El Segundo, CA

Time Type: Full time

Job Description

Data Scientist

The Opportunity:

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 metrics 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. This position is located in El Segundo, CA.

Join us. The world can't wait.

You Have:

• 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, including Python, R, or SQL, and with common data science libraries, including 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 code‑based visualization, including 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, including Copilot, ChatGPT, or 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

• Ability to communicate analytical insights, translate technical analyses into clear narratives and use cases for senior government and military stakeholders

• Secret clearance

• Bachelor’s degree

Nice If You Have:

• 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 analyzing DoD acquisition data, such as cost, schedule, risk, or program performance metrics, to support procurement decisions, requirements development, and evidence‑based acquisition planning

• Experience contributing to the development of business development or marketing artifacts, including proposals or white papers

• TS/SCI clearance

• Master’s degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.