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dataroles

Data Scientist

Bah Open · verified Oct 24, 2026
Honolulu Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Bah. Honolulu · full-time · $77,600–$176,000 base.

SalaryStated by Bah
$77,600 – $176,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityMid-level
LocationHonolulu
EmploymentFull-time
Base pay$77,600–$176,000
PostedOct 2, 2026 · 3w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Explore and prepare data, then analyze and visualize findings from structured and unstructured sources
  • Create predictive models and quantitative assessments using selected data sources
  • Build dependable data pipelines that scale across varied datasets and data types
  • Clarify client questions and turn findings into algorithms or systems that support decisions

What you bring

  • At least two years exploring, preparing, analyzing, visualizing, engineering or mining data
  • At least two years using statistical and broadly applicable coding languages to analyze data
  • Experience assessing structured and unstructured data and creating predictive models, quantitative analyses and visualizations
  • Hands-on work with LLMs such as RAG and AI agents, plus knowledge of machine learning, AI or NLP
  • A STEM bachelor's degree and Secret clearance

Who this fits

This role suits a data scientist who can use analytical and programming skills to address client questions across varied data. A Secret clearance is required. You must appear on camera for interviews and assessments, and AI tools cannot assist with interview responses unless explicitly allowed.

From the employer

Data Scientist

The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.


On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.


Work with us as we use data science for good.


Join us. The world can’t wait.


You Have:  

  • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, data engineering or data mining
  • 2+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses and visualization of targeted data sources
  • Experience building robust and scalable data engineering pipelines with diverse datasets and data types
  • Experience working with LLMs including Retrieval Augmented Generation (RAG) and AI Agents
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
  • Secret clearance  
  • Bachelor’s degree in a STEM field

Nice If You Have:  

  • 2+ years of experience in the development of algorithms leveraging Python, R, Typescript or SQL and NoSQL
  • 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • 2+ years of experience with Machine Learning, AI or NLP
  • Experience working with Maven Smart System (MSS)
  • Experience working with logistics optimization models leveraging discrete optimization algorithms and routing models
  • Experience working with geospatial datasets
  • Experience working with logistics or supply chain datasets
  • Experience with visualization packages, including matplotlib, Plotly, Seaborn, or ggplot2
  • TS/SCI clearance with a polygraph 
  • Master’s degree in a STEM field

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 $77,600.00 to $176,000.00 (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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$70k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.