招聘
必备技能
Machine Learning
Model Based Systems Engineer:
The Opportunity:
Create, integrate, and apply interdisciplinary digital models of products from concept throughout the product lifecycle. Apply advanced skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and may supervise team members.
You Have:
-
4+ years of experience with large-scale missions and systems engineering and integration
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3+ years of experience performing systems engineering analysis and developing systems engineering products for DoD or government systems
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2+ years of experience with practical Model Based Systems Engineering (MBSE) for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or Magic Draw, SparxEA, DOORS, or IBM rhapsody
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Ability to perform multiple systems engineering and program management functions in support of design reviews and requirements verification
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Ability to communicate and establish collaborative relationships with government clients, Federally Funded Research and Developmental Centers (FFRDC), and associate contractor teammates to achieve program goals
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Secret clearance
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Bachelor's degree in a Science, Technology, Engineering, or Mathematics field
Nice If You Have:
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Experience with MATLAB, STK, Model Center, or Teamcenter
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Experience analyzing and translating system requirements into design
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Knowledge of Systems Machine Learning (SysML), Unified Architecture Framework (UAF), and DoD Architecture Framework (DoDAF)
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Ability to identify, analyze, and resolve technical risks and issues, develop technical reports, and collaborate with government and other stakeholders to implement recommended solutions
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TS/SCI clearance
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Master’s degree in Engineering
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OMG Certified Systems Model Professional (OCSMP) Certification
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INCOSE SE 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 $86,800.00 to $198,000.00 (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 application process, 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.
Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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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关于Booz Allen Hamilton

Booz Allen Hamilton
PublicSpecializing in digital transformation and artificial intelligence.
10,001+
员工数
McLean
总部位置
$4.2B
企业估值
评价
3.5
5条评价
工作生活平衡
2.5
薪酬
3.0
企业文化
2.8
职业发展
2.5
管理层
2.0
35%
推荐给朋友
优点
Great reputation in federal sector
Hybrid work options available
Established teams and processes
缺点
Poor hiring and recruitment process
Job security concerns with contract-based work
Work-life balance issues
薪资范围
34个数据点
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1份报告
$149,500
年薪总额
基本工资
$115,000
股票
-
奖金
-
$149,500
$149,500
面试经验
7次面试
难度
2.7
/ 5
时长
21-35周
录用率
43%
体验
正面 29%
中性 28%
负面 43%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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