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Department Summary:

This is an opportunity for a creative Operations Research Analyst, Statistician, or Data Scientist to join MITRE’s Operations Research department. We large group of over 60 operations research professionals, including nearly 30 PhDs, who provide thought leadership on a variety of strategic and technical issues, perform analysis that enable our sponsors to make more effective decisions, lead internal research and development activities to bring new technical capabilities into the public sector, and serve as trusted third-party advisors to government sponsors on a variety of technical topics .

In short, we apply our problem-solving skills to complex interdisciplinary problems that occur within or at the intersection of organizations, operations, and technology. We support sponsor projects across the defense and public sectors including military logistics, radio-spectrum frequency management, health care delivery, cybersecurity analytics, fraud detection, satellite planning, homeland security and civilian aviation. We apply advanced analytic techniques such as longitudinal analysis, large-scale integer programming, metaheuristics, agent-based modeling, reinforcement learning, predictive modeling, mathematical modeling, forecasting, machine learning, optimization, statistics, probability modeling, Bayesian analysis, and different types of simulation to solve the nation’s toughest problems. And our research pushes the boundaries on topics such as complex scheduling, medical image analysis, and identifying changes in data streams.

If you are passionate about project-based OR work in the public interest, you have found the right place.

Roles and Responsibilities:

• Apply advanced analytical and mathematical techniques to make difficult policy and acquisition decisions, to maximize operational effectiveness and efficiency, and achieve highest quality engineering solutions

• Present results in an intuitive, actionable manner that can be understood by all sponsor audiences, regardless of technical expertise

• Work independently and/or collaborate with a team of technical staff

• Work successfully in a hybrid environment with in-person presence

Basic Qualifications:

• Degree in Operations Research, Mathematics, Industrial Engineering, or equivalent knowledge and skills in a related field

• Typically requires a Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent combination of related education and work experience.

• Be passionate about applying operations research, statistics, and data analytics to real world problems

• Be willing to adapt and learn

• Show evidence of knowledge of principles, concepts, methods and tools for conducting operations research, statistical analysis, or data analytic studies

• Have experience in using tools and techniques to do mathematical modeling, optimization, statistics, probability modeling, and simulation

• Demonstrated ability to use at least one modern programming language (e.g., RStudio, MATLAB, Python, Java)

• Demonstrated ability to use at least one simulation, optimization, or business intelligence platform (e.g., Gurobi, CPLEX, Stella, Simio, Arena, AnyLogic, SimPy, RSimmer, SAS, Tableau)

• Must be capable of obtaining & maintaining secret security clearance

• This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

• Preference given to qualified candidates with active clearance

• Experience working with/for agencies and/or departments of the US Government (e.g., FAA, DoD, DoE, DHS, Treasury, IRS)

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):

Secret

Salary compensation range and midpoint:

$91,000 - $114,000 - $137,000 Annual

Work Location Type:

Hybrid

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .

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