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Benefits & Perks
•Healthcare
•Life Insurance
•Disability Insurance
•401(k)
•Paid Leave
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•Dependent Care
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Required Skills
Python
MATLAB
C
NumPy
SciPy
OpenCV
PyTorch
Remote Sensing Scientist:
The Opportunity:
Support advanced geospatial and remote sensing initiatives. Leverage expertise in remote sensing technologies to collect, process, and analyze data from various remote sensing platforms. Develop algorithms, interpret complex datasets, and deliver actionable insights for mission-critical projects. Leverage advanced and specialized physics research expertise to test and analyze physical phenomena, conduct and shape R&D programs, and to support S&T client challenges. Apply advanced understanding of event phenomenology or extensive technical expertise. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and may supervise team members.
You Have:
-
Experience with IC and DoD remote sensing platforms
-
Experience with Python, MATLAB, or C for algorithm development
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Experience with Num Py, Sci Py, OpenCV, or Py Torch for analytics and modeling
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Knowledge of Radiometric calibration, including counts-to-radiance conversion
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Knowledge of custom community formats such as HDF5
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Active TS/SCI clearance; willingness to take a polygraph exam
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Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) field and 8 years of experience in the IC or DoD, or Master’s degree in a Science, Technology, Engineering or Mathematics (STEM) field and 6 years of experience in the IC or DoD, or Doctorate degree in a Science, Technology, Engineering or Mathematics (STEM) field and 3 years of experience in the IC or DoD
Nice If You Have:
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Experience with artifacts, including blooming, dropouts, smear, or frame shifts
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Experience with ground sample distance, pixel sub-tension, and coverage geometry
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Experience with angular resolution and uncertainty cones in detection
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Experience with geolocation of detections via boresight alignment and Earth reference models
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Experience with indications and warnings on object tracking and estimation and SDA missions
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Experience with latency-sensitive versus forensics-based processing
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Knowledge of spectral band response
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Knowledge of correction for sensor drift, attitude error, or timestamp offsets
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Knowledge of platform-aware alignment such as ephemerides
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Knowledge of event detection and alerting systems
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 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 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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About Booz Allen Hamilton

Booz Allen Hamilton
PublicSpecializing in digital transformation and artificial intelligence.
10,001+
Employees
McLean
Headquarters
Reviews
3.5
5 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.8
Career
2.5
Management
2.0
35%
Recommend to a Friend
Pros
Great reputation in federal sector
Hybrid work options available
Established teams and processes
Cons
Poor hiring and recruitment process
Job security concerns with contract-based work
Work-life balance issues
Salary Ranges
34 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
0 reports
$96,186
total / year
Base
-
Stock
-
Bonus
-
$81,758
$110,614
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
21-35 weeks
Offer Rate
43%
Experience
Positive 29%
Neutral 28%
Negative 43%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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