Data Scientist

Posted Yesterday
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Camp Lejeune, NC, USA
In-Office
99K-225K Annually
Entry level
Information Technology
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The Role
Develops and deploys predictive models and machine learning solutions for clients. Leads or mentors analysts, developers, and data consumers; designs cloud data environments, pipelines, statistical models, and data visualizations. Transforms structured and unstructured data into actionable insights, validates and engineers features, and advises clients on applying predictions to mission objectives. The role requires Secret clearance and a bachelor's degree, with DoD data platform and advanced clearance experience preferred.
Summary Generated by Built In
Data Scientist

The Opportunity:

As a Data Scientist, you have a passion for going beyond simple analysis to build predictive models and algorithms. You thrive on the challenge of transforming vast amounts of structured and unstructured data not just into insights, but into machine learning and artificial Intelligence solutions to solve complex challenges.

  

As a client facing Data Scientist, you’ll work with and guide a small team of analysts, developers, and data consumers in a fast-paced, Agile environment. You’ll apply your deep knowledge of machine learning and statistical modeling as you lead the design, development, and deployment of predictive models for your clients. You will also work closely with your clients to understand their questions and challenges, and then architect data-driven solutions within their data-rich environments. Not only will you build models to predict future outcomes, but you’ll also advise your client on what these predictions mean and how they can be used to proactively shape mission success.


Join us. The world can't wait.


You Have:

  • Experience designing, building, or maintaining cloud data environments such as Azure and AWS
  • Experience leading or mentoring technical teams of data analysts, engineers, or developers
  • Experience with data visualization techniques and tools, including Power BI, Tableau or Microsoft Fabric, and Spark or PySpark for data analysis
  • Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis
  • Experience transforming data patterns into predictive insights and deploying data driven solutions
  • Experience in data validation, feature engineering and preparing complex data sets for machine learning
  • Experience building and automating data pipelines and workflows
  • Knowledge of statistical analysis and modeling techniques, including regression, classification and clustering
  • Secret clearance
  • Bachelor's degree

Nice If You Have:

  • Experience developing custom data-driven applications or user interfaces for data input and visualization
  • Experience with DoD data platforms, including Advana, MCS-COP Foundry, ADE, or similar systems
  • Experience with agile methodologies
  • Experience with working on real-time data and streaming applications
  • Knowledge of USMC Marine Expeditionary Force mission and structure
  • Ability to develop scripts and programs for converting various types of IoT and sensor data into usable formats
  • Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
  • TS/SCI clearance
  • Master's degree
  • Certified Analytics Professional (CAP) Certification

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 $99,000.00 to $225,000.00 (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.

Skills Required

  • Experience designing, building, or maintaining cloud data environments such as Azure and AWS
  • Experience leading or mentoring technical teams of data analysts, engineers, or developers
  • Experience with data visualization tools including Power BI, Tableau, or Microsoft Fabric, and Spark or PySpark
  • Experience using structured data tools including SQL, R, or Python, data visualization software, and statistical analysis
  • Experience transforming data patterns into predictive insights and deploying data-driven solutions
  • Experience in data validation, feature engineering, and preparing complex datasets for machine learning
  • Experience building and automating data pipelines and workflows
  • Knowledge of regression, classification, clustering, and other statistical analysis and modeling techniques
  • Secret clearance
  • Bachelor's degree
  • Experience developing custom data-driven applications or user interfaces
  • Experience with DoD data platforms such as Advana, MCS-COP Foundry, or ADE
  • Experience with Agile methodologies
  • Experience with real-time data and streaming applications
  • Knowledge of USMC Marine Expeditionary Force mission and structure
  • Ability to convert IoT and sensor data into usable formats using scripts and programs
  • Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
  • TS/SCI clearance
  • Master's degree
  • Certified Analytics Professional certification

Booz Allen Hamilton Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Booz Allen Hamilton and has not been reviewed or approved by Booz Allen Hamilton.

  • Retirement Support — Retirement benefits are anchored by a dollar‑for‑dollar 401(k) match with immediate vesting and complemented by an employee stock purchase plan. Feedback suggests these features strengthen long‑term financial security beyond base pay.
  • Healthcare Strength — Health coverage spans medical, dental, vision, life, disability, mental health, and wellness incentives, with multiple plan options. Tax‑advantaged accounts and wellness contributions further enhance the breadth of coverage.
  • Leave & Time Off Breadth — Time‑off benefits include paid holidays, PTO that grows with tenure, and paid parental leave with additional unpaid time available. Flexible scheduling and remote options support work‑life balance alongside formal leave.

Booz Allen Hamilton Insights

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The Company
HQ: McLean, VA
Year Founded: 1914

What We Do

Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®.

Why Work With Us

At Booz Allen, our culture of heart and performance will fuel your growth and empower you to succeed, both inside and outside of the workplace. Discover your future career and join us. The world can't wait.

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