Booz Allen

DataScientist

$99–99k Okinawa FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Scientist at Booz Allen. Skills: Data Science, Analytics, Optimization, Machine Learning. Design analytics and optimization solutions. Build data pipelines and transformation workflows”

Industry & Context.

Problems you'll solve

solve real-world problems

Eligibility Requirements

Ability to obtain a Secret clearance, Secret clearance

What They're Looking For.

Must Have

5+ years of experience in data science, Experience with SQL, Python for data analysis, data visualization tools, statistical analysis, machine learning, optimization techniques, building and maintaining data pipelines, designing relational data models, data modeling, ETL processes, data governance principles, communicate analytical insights, operate independently, obtain a Secret clearance, Bachelor's degree in Data Science, CS, Mathematics, Statistics

Nice to Have

optimization or operations research methods, linear programming, simulation, resource allocation, deploying or supporting machine learning models, data governance or data quality frameworks, validation, metadata management, lineage, integrating analytics or machine learning solutions, 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, Statistics

What You'll Do.

Design analytics and optimization solutions

Build data pipelines and transformation workflows

Develop dashboards and reporting solutions

Apply statistical analysis

Design and maintain relational data models

Implement scalable data processing workflows

Establish data governance standards

Collaborate with stakeholders

Integrate multiple data sources

How You'll Work.

Team & Collaboration

Collaborate with engineering, product, and stakeholders

Communication Scope

communicate analytical insights through dashboards; reports; presentations

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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