Data Scientist
Develop and scale analytics, optimization models, and data-driven solutions to support decision-making across planning and operational workflows.
The Opportunity
We are seeking a Data Scientist to support the development and evolution of analytics and optimization capabilities within a complex data platform that enables decision-making across planning, resource allocation, and operational workflows.
This role will primarily focus on building and scaling analytics, optimization models, and data-driven solutions using structured and unstructured data. The role will also contribute to the development and maintenance of a robust data layer, including data pipelines, governance standards, and curated datasets that support enterprise use cases. As a secondary focus, this role will support the development of AI or LLM-enabled capabilities, including retrieval-augmented generation (RAG) workflows, hybrid search, and metadata-driven data access patterns.
The ideal candidate is a strong data scientist with experience in analytics, optimization, and data engineering fundamentals, capable of working across the full data lifecycle from ingestion and transformation to modeling and visualization.
What You'll Work On
- Design, develop, and maintain analytics and optimization solutions to support operational decision-making.
- Build and manage data pipelines and transformation workflows using SQL and Python.
- Develop dashboards and reporting solutions using tools such as Tableau, to communicate insights.
- Apply statistical analysis, machine learning, and optimization techniques to solve real-world problems.
- Design and maintain relational data models such as PostgreSQL, to support analytics and application needs.
- Implement scalable data processing workflows leveraging cloud services such as AWS.
- Establish and maintain data governance, data quality, and data curation standards across the data layer.
- Collaborate with engineering, product, and stakeholders to translate requirements into analytical solutions.
- Integrate multiple data sources into a unified and reliable data platform.
Requirements
You Have
- 5+ years of experience in data science, analytics, machine learning, or optimization
- Experience with SQL for data querying and transformation, Python for data analysis, modeling, and scripting, and data visualization tools such as Tableau
- Experience applying statistical analysis, machine learning, or optimization techniques to real-world problems
- Experience building and maintaining data pipelines or data workflows, and designing relational data models such as PostgreSQL
- Knowledge of data modeling, ETL processes, and data governance principles
- Ability to communicate analytical insights through dashboards, reports, and presentations
- Ability to operate independently and own analytical workstreams
- Ability to obtain a Secret clearance
- Bachelor's degree in Data Science, CS, Mathematics, or Statistics and 5+ years of experience working in a professional environment, or 11+ years of experience working in a professional environment in lieu of degree
Nice If You Have
- Experience with optimization or operations research methods, including linear programming, simulation, and resource allocation, and deploying or supporting machine learning models in production environments
- Experience implementing data governance or data quality frameworks, including validation, metadata management, and lineage, and integrating analytics or machine learning solutions into cloud-based architectures
- Experience with large-scale data processing or distributed systems
- Knowledge of LLM concepts, including embeddings, prompt engineering, or vector databases
- Knowledge of RAG-based systems, including hybrid search, metadata filtering, or graph-based retrieval
- Secret clearance
- Master's degree in Data Science, CS, Mathematics, or Statistics
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care
- Recognition awards program for exceptional performance
Additional Info
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Work Model
- 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.
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.
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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