Booz Allen
DataScientist
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“Data Scientist at Booz Allen. Skills: Data Science, Analytics, Optimization, Machine Learning. Design, develop, and maintain analytics and optimization solutions. Build and manage data pipelines and transformation workflows”
What You'll Achieve.
enable decision-making across planning, resource allocation, and operational workflows; support enterprise use cases
Industry & Context.
solve real-world problems; analytical solutions
Ability to obtain a Secret clearance, security investigation, eligibility requirements for access to classified information, identity verification process, advanced biometrics and artificial intelligence, expected to be on camera during interviews and assessments, reserve the right to take your picture to verify your identity and prevent fraud, 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, employees working virtually are generally expected to have their cameras on during meetings
What They're Looking For.
Must 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, data visualization tools such as Tableau, statistical analysis, machine learning, or optimization techniques, building and maintaining data pipelines or data workflows, designing relational data models such as PostgreSQL, data modeling, ETL processes, 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, 11+ years of experience working in a professional environment in lieu of degree
Nice to Have
optimization or operations research methods, linear programming, simulation, resource allocation, deploying or supporting machine learning models in production environments, data governance or data quality frameworks, validation, metadata management, lineage, integrating analytics or machine learning solutions into cloud-based architectures, large-scale data processing, distributed systems, LLM concepts, embeddings, prompt engineering, vector databases, RAG-based systems, hybrid search, metadata filtering, graph-based retrieval, Secret clearance, Master’s degree in Data Science, CS, Mathematics, or Statistics
What You'll Do.
and maintain analytics and optimization solutions
Build and manage data pipelines and transformation workflows
Develop dashboards and reporting solutions
Apply statistical analysis
and optimization techniques
Design and maintain relational data models
Implement scalable data processing workflows
Establish and maintain data governance
and data curation standards
Integrate multiple data sources into a unified and reliable data platform
How You'll Work.
Team & Collaboration
Collaborate with engineering, product, and stakeholders to translate requirements into analytical solutions
Communication Scope
communicate analytical insights through dashboards, reports, and presentations
Process & Methodology
own analytical workstreams
Full Job Description
Data Scientist **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. Join us. Th
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