As an Associate Data Scientist, you will leverage and grow your analytical, mathematical, data science, and systems engineering expertise to support the analysis, design, implementation, and integration of enterprise systems and systems-of-systems, as well as mission analysis for federal agencies.
Specific responsibilities may include
Using your understanding of data science, systems and mission engineering, quantitative methods, and an awareness of sponsor needs to determine areas where MITRE can have an impact
Applying modern methods and tools such as Data Science, Machine Learning, Data Analytics, Model-Based Systems Engineering, Digital Engineering, Mission Engineering, and Mathematical Modeling to assess capability needs, requirements, architecture, designs, performance constraints and gaps, proposed changes, and verification and test approaches
Evaluating and comparing alternative architectures and approaches using qualitative and quantitative techniques; exploring large trade-spaces and analyzing trade-offs
Identifying and developing metrics and analytical methods to measure and analyze relevant system and data properties, such as robustness, resiliency, interoperability, quality, and maintainability
Supporting requirements management, interface management, and architecture change management processes
Performing data analysis, modeling, and system design and development, including software development, systems modernization, and architecture
Supporting multiple tasks across several government-sponsored projects in a small- to large-team environment
Basic Qualifications
Typically requires less than 1 year of related experience with a related bachelor’s degree, or equivalent combination of related education and work experience.
Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, Physics, Engineering, Software Engineering, or a related technical field
Familiarity with programming languages and analytical tools such as Python and MATLAB
Familiarity with Model-Based Systems Engineering (MBSE) and Digital Engineering (DE) concepts
Experience with statistical analysis, data analysis, and modeling
Interest in complex, multi-disciplinary data and analytical problems
Willingness and ability to learn new tools and concepts in a variable environment of government sponsors
This position requires a minimum of 3 days a week on-site.
Preferred Qualifications
Preference given to qualified candidates with active clearance
Advanced degree in related field of study
Experience with multi-disciplinary modeling and simulation (physics-level, engineering-level and/or socio-technical-level)
Experience with Digital Engineering integration through internship, research, or academic projects
- This requisition requires the candidate to have a minimum of the following clearance(s):
- None
- This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
- None
Salary compensation range and midpoint
$80,000 - $100,000 - $120,000 Annual
Work Location Type
Onsite
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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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