Data Scientist

Data Scientist

The Opportunity:
As a data scientist at Booz Allen, you’ll unlock insights from complex data to solve mission-critical challenges. In an increasingly connected world, large volumes of structured and unstructured data create opportunities to generate actionable intelligence and drive informed decision-making. On our team, you’ll apply your technical expertise and systems thinking to help design analytic capabilities that support national security and mission partner objectives.

This role requires individuals who are comfortable operating in early-stage or evolving data environments, where datasets, pipelines, and analytic frameworks may need to be built simultaneously. You’ll work alongside data engineers, system architects, and mission stakeholders to shape the tools, data pipelines, and analytic environments required to enable scalable data science capabilities.

Operate in a “No-Fail” mission environment, demonstrating extreme ownership and full accountability for outcomes. You’ll proactively identify gaps in data availability, infrastructure, or analytic tooling and drive solutions without reliance on external direction. Anticipate risks, remove obstacles, and act decisively to close gaps before they impact mission delivery.

Work closely with clients and mission partners to translate operational questions into analytic approaches. Apply the right combination of data engineering, analytics, and modeling techniques to generate meaningful insights that improve mission effectiveness.

Ultimately, you’ll help deliver mission outcomes by enabling teams to better understand their data, the insights it reveals, and how it can be used to support decision-making.

Work with us as we use data science for good.

Join us. The world can't wait.

You Have:

• 3+ years of experience with data exploration, data analysis, data mining, data visualization, or data science
• 3+ years of experience programming in statistical or general-purpose languages such as Python, R, or languages used for data analysis
• Experience analyzing structured and unstructured data sources, developing analytical approaches to extract meaningful insights, and developing predictive data models, quantitative analyses, or decision-support tools
• Experience working with or designing data lakes, data warehouses, and ETL/ELT pipelines supporting analytics and machine learning workflows
• Experience preparing and transforming data through data ingestion, cleansing, and pipeline development to support scalable analytics
• Experience collaborating with data engineers, system architects, and mission stakeholders to define analytic requirements and develop solutions
• Ability to display ownership mentality, and take responsibility for complex technical challenges from problem definition through delivery
• Ability to operate effectively in ambiguous or evolving data environments where data, pipelines, and analytic frameworks must be developed simultaneously
• Secret clearance
• Bachelor’s degree

Nice If You Have:

• Experience developing algorithms using Python, R, SQL, or NoSQL technologies
• Experience with distributed data and computing tools such as Hadoop, Spark, Kafka, EMR, or similar platforms
• Experience developing machine learning or natural language processing (NLP) solutions
• Experience working with cloud-based analytics environments such as AWS, Azure, or Google Cloud
• Experience building data architecture or analytics platforms that support scalable data science
• Experience with data visualization tools or packages such as Plotly, Seaborn, ggplot2, or Tableau
• TS/SCI clearance

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 $112,800.00 to $257,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

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