Data Scientist

About the role

The Opportunity:  

We are seeking a Data Scientist to help transform complex data into actionable insights that drive mission and business outcomes. In this role, you will work with structured and unstructured data to identify trends, develop predictive and analytical models, and deliver data-driven solutions that support strategic decision-making. 

You will support cross-functional teams and stakeholders by applying advanced analytics, machine learning, statistical modeling, and visualization techniques to solve challenging problems. Working alongside data scientists, engineers, analysts, and business leaders, you'll help develop scalable analytical capabilities while contributing to a culture of innovation and data-driven decision-making.

You'll join a collaborative team focused on delivering data-driven solutions across a portfolio of projects, including business analysis, predictive analytics, machine learning, and emerging AI capabilities. The team partners with technical and non-technical stakeholders to transform data into actionable insights, develop predictive models, and deliver analytical solutions that support mission and business objectives.

This role is ideal for someone who enjoys exploring data, developing analytical products, communicating complex findings to various audiences, and influencing decisions through evidence-based insights. You'll have the opportunity to contribute to analytical strategy, support modernization initiatives, and help organizations maximize the value of their data assets. Due to the nature of work performed within this facility, U.S. citizenship is required.

How You'll Contribute:

As a data scientist on our team, you'll:

• Apply statistical analysis, machine learning, and advanced analytics techniques to uncover insights and solve complex business and mission challenges.
• Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support organizational objectives.
• Build, evaluate, validate, and refine supervised and unsupervised machine learning models that generate actionable outcomes.
• Develop dashboards, visualizations, and analytical products that effectively communicate findings and recommendations to technical and non-technical audiences.
• Perform data preparation, cleansing, transformation, and feature engineering to support high-quality analytical solutions.
• Collaborate with data scientists, engineers, analysts, and stakeholders to design and implement scalable analytical capabilities.
• Translate technical analyses and model outputs into meaningful business recommendations and decision-support products.
• Contribute to analytics roadmaps, project planning efforts, and strategic initiatives that align with organizational priorities.
• Leverage modern analytical tools to develop scalable and sustainable solutions. 
• Promote best practices in reproducible analytics, model governance, documentation, and version control.

Join us. The world can't wait.

You Have:

• 3+ years of experience with data science, advanced analytics, or machine learning
• Experience with Python, R, or SQL 
• Experience performing exploratory data analysis on large datasets and applying statistical techniques to solve complex problems
• Experience developing, evaluating, and implementing supervised and unsupervised machine learning models
• Experience creating visualizations, dashboards, and analytical products
• Experience using a version control platform
• Ability to translate technical findings into actionable recommendations for non-technical audiences
• Bachelor's degree

Nice If You Have:

• Experience leading data science initiatives or coordinating cross-functional analytical efforts
• Experience with project management
• Experience with cloud computing platforms, including AWS, Azure, or Google Cloud Platform
• Experience mentoring junior analysts, data scientists, or team members
• Experience helping define analytics roadmaps, project plans, and strategic priorities
• Experience deploying machine learning models into production environments
• Experience with artificial intelligence (AI), natural language processing (NLP), or generative AI applications
• Experience with MLOps, model governance, or machine learning lifecycle management
• Possession of excellent organizational skills
• Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Analytics, or a related field

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 $99,000.00 to $225,000.00 (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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.