Associate Data Scientist

The MITRE Corporation•New Bedford, MA

2d•$80,000 - $120,000•Onsite

About The Position

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future. MITRE’s Systems Performance and Evaluation Department is charged to solve some of our nation's most critical challenges in delivering services to citizens throughout defense and intelligence, aviation, homeland security, the judiciary, healthcare, and cybersecurity domains. This is an opportunity for an Associate Data Scientist with an interest in advancing and applying innovative data science and analytical techniques to help solve some of our nation's most critical challenges. We are looking for highly motivated, adaptive, and self-directed candidates with motivation to join our technical workforce, expand their technical skills and capabilities, and grow our work supporting the development and deployment of nationally important solutions through Analytics, Data Science, Machine Learning, Model-Based Systems Engineering, Digital Engineering, Systems Architecture and Requirements Engineering, and System-of-Systems and Systems Thinking practices. 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.

Requirements

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
Must be eligible to obtain and maintain a Secret U.S Government issued Security Clearance. Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.

Nice To Haves

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

Responsibilities

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, architectures, 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