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Quality Assurance & Training Manager (Mgr. 2)
City of Seattle
Seattle, WA
- $56.57 to $84.88 USD / hour
…Manager within its Customer Care Division. In this role, you will lead and modernize the QA & Training program across five major functional areas: Contact Center, Meter Reading, Utility…
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BHA2; GLOSTER, MS WKND 7P-7A
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Gloster, MS
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United States
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Oregon Health & Science University
Portland, OR
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Lead Foodservice Team Member
Maverik
Albuquerque, NM
- $16 to $18 USD / hour
Food Safety Certification: Must obtain and maintain the food safety certification required by the applicable state or local jurisdiction
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Remote, United States
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Candidates must have work authorization to work in the US
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Crisis Support Specialist, Living Room
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Chicago, IL
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Clinical Assistant Professor (Periodontics)
University of the Pacific
CA
Days Per Week
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HABASIT AMERICA INC
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Utilize MRP and ERP generated reports to purchase material in support of those forecasts, min/max and safety stock levels for long lead time/variable lead time products.
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Physical Security Project/Program Manager V
Actalent
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- $60 to $78 USD / hour
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Controls System Owner
Actalent
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- $60 to $90 USD / hour
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Controls Specialist
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Controls System Owner
Actalent
Boise, ID
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Excavation Superintendent
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Excavation Foreman
Actalent
Chicago, IL
- $36 to $48 USD / hour
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Booz Allen Hamilton_United States

Computer Scientist

Washington, DC, United States
McLean, VA, United States

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

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Job details

Pay: The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Apply by: Feb 10, 2027
Working hours: 20 hours a week
Posting language: English
Posted: Nov 12, 2026

Original job description

Computer ScientistThe Opportunity:

As an analytics professional, 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 (AI). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science expertise coupled with an original approach to your work will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with statistics for the Department of Defense.

As an advanced data scientist and researcher on our national security team, you’ll evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence. You’ll grow your skills in continuous auditing, testing, evaluation, verification, and validation (TEVV) and AI risk mitigation to shape the future of analytics through a variety of means. We’ll keep you sharp and moving forward in your career with access to online courses and opportunities to publish or present at conferences. Whether you’re using AI to improve government efficiency or developing new TEVV procedures, you’ll guide a team that serves critical missions from end to end.

Join us. The world can’t wait.

You Have:

8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
5+ years of experience with object-oriented programming (OOP) and functional programming to build modular and scalable testing libraries
Experience with CI/CD pipelines, including AI or ML validation
Experience building and evaluating outputs and performance of advanced analytics, including LLMs or agentic AI
Experience working on classified networks in support of DoD or IC clients
Ability to work independently with minimal oversight and direction
Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and "go or no-go" criteria clearly
TS/SCI clearance with a polygraph
Bachelor’s degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree

Nice If You Have:

Experience reviewing and evaluating technical documentation for compliance with applicable standards
Experience developing and executing TEVV procedures
Experience evaluating AI system performance, robustness, and fairness

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph 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.

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More about this job

Skills

Machine learning
Artificial intelligence
Statistics
Auditing
Object-oriented programming
CI/CD
ML
Work independently
Leadership
Data mining
Data engineering
Data warehousing
Documentation
Regulatory compliance

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Work requirements

Jobs in the United States