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Data Scientist, Mid

Alexandria, VA

Pay
USD 77,600–176,000/year — pay source
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
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Booz Allen Hamilton

What you’ll work on

Full posting
  • Write scripts to integrate data sets

  • Run exploratory data analysis to find hidden patterns

  • Train predictive models using machine learning

  • Explain data findings to the customer and how to use them

From the employer’s posting
You’ll write scripts to integrate data
conduct exploratory data analysis to discover hidden patterns
apply machine learning to train predictive models
You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it.

What you’ll bring

All qualifications

Core experience

  • Python for manipulating and analyzing data
  • SQL for complex database queries
  • Ability to communicate with audiences of varying technical knowledge
  • Top Secret clearance

Preferred experience

  • Apache Spark for large data sets
  • TS/SCI clearance
  • Master's degree in a related technical field
Qualification wording
Experience using Python to manipulate and analyze data
Experience using SQL to conduct complex database queries
Experience with communicating information to an audience with varying technical knowledge and expertise
Top Secret clearance
Experience using Apache Spark to aggregate and analyze large data sets from various sources
TS/SCI clearance
Master's degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field

Tools in this posting

  • JavaScript
  • Python
  • SQL
  • Spark
  • Flask
Source — Tool mentions in context
- Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows - Experience developing Web services or Web applications using Python and Flask or JavaScript - Experience working with AI and ML technologies and data systems
- 2+ years of experience in data science or engineering, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights - Experience using Python to manipulate and analyze data - Experience using SQL to conduct complex database queries
- Experience using Python to manipulate and analyze data - Experience using SQL to conduct complex database queries - Experience with communicating information to an audience with varying technical knowledge and expertise in verbal or written formats
Nice If You Have: - Experience using Apache Spark to aggregate and analyze large data sets from various sources - Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 2026 · 1 day ago
Recorded sightings
3
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Data Scientist, Mid

The Opportunity:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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 — you know the answers are in the data.


We have an opportunity for you to use your leadership and analytical skills to support an intelligence community (IC) agency's collection and analysis operations. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and use the right combination of tools to turn that set of disparate data points into objective answers to help mission partners make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in support of the IC’s global mission.


Join us. The world can’t wait.


You Have:

  • 2+ years of experience in data science or engineering, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights 
  • Experience using Python to manipulate and analyze data
  • Experience using SQL to conduct complex database queries
  • Experience with communicating information to an audience with varying technical knowledge and expertise in verbal or written formats
  • Top Secret clearance
  • Bachelor's degree

Nice If You Have:

  • Experience using Apache Spark to aggregate and analyze large data sets from various sources
  • Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows
  • Experience developing Web services or Web applications using Python and Flask or JavaScript
  • Experience working with AI and ML technologies and data systems
  • Experience using data manipulation and extract, transform, and load (ETL) procedures
  • Experience working with multiple file types, including geospatial file formats, JSON, and XML
  • Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
  • Knowledge of commercial Cloud services used by the IC
  • TS/SCI clearance
  • Master's degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top 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.

Source details

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Pay

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Location & working pattern

Alexandria, VA

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.
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