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Data Science Analyst, Associate - McLean, United States - The MITRE Corporation
Description
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both.That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees.
MITRE is different from most technology companies.We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do.
The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation.
We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values.We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth.
If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.
The Army Strategic Infrastructure Department (N214), is responsible for 50+ staff-years of technical and domain-specific work focused on the Enterprise Network, Systems, Services and Sustainment.
The work requires an understanding and comfort operating at senior-levels of the Army, including routine coordination and collaboration with Army Senior Leaders (3 and 4 Star General Officer and SES level).
The majority of the department's support is to the HQDA, Deputy Chief of Staff G-6, the Office of the Chief Information Officer, the Program Executive Office Enterprise Information Systems, the Network Engineering Technology Command and the Army Materiel Command.
If you are a talented and motivated early career Data Analyst looking to put your skills to use in a challenging environment that includes supporting military tactical operations and military intelligence, then this is the opportunity for you MITRE's Army Division has an opening for a recent graduate in Applied Mathematics, Computer Science, Operations Research, or similar degree programs to continue the growth of our data analytics group in support of a diverse set of Army sponsors.
The work includes engaging with sponsors to scope and prioritize tasks, collecting large datasets to perform data-driven analyses, conducting market research, investigating relevant policies and regulations, understanding the current budgetary and political environment, and performing additional research and analysis as necessary.
The data analyst role involves consolidating multiple sources of information into the most substantial findings and presenting those conclusions to sponsors, often as written reports and in-person briefings.
This position supports other department capabilities in cost, economic, business analyses, and business intelligence as needed.That work could include models and simulations analyses, experimentation analysis, tradeoff and affordability analyses, decision analyses, portfolio investment analysis, and business case analysis.
Expect a dynamic team environment where tasks are rarely routine and often require novel approaches.Expect to work on multiple projects simultaneously, with limited structure and supervision.
Roles & Responsibilities:
Assist in identifying sources of information and gathering a wide range of quantitative and qualitative data to support decisions that have implications for MITRE and its government sponsors
Apply analysis skills, including exploratory data analysis, time series analysis, and linear regression
Leverage other analysis to include, but not limited to mathematical modeling and analysis, capability benefit analysis, handling large datasets and data driven analysis, policy and investment analysis, sponsor engagement and support, technical analysis in support of regulatory policy, pre- and post-implementation analysis, forecasting, and applied research
Draw conclusions from analyses and clearly and concisely articulate key findings in both written and verbal form
Assist in developing data visualization products that improve the presentation of complex data sets
Translate unstructured data and nontraditional sources of information into decision insights
Explore sponsor environments for cross-government challenges and identify potential best practices
Basic Qualifications:
Bachelor's degree in Operations Research, Mathematics, Statistics, Economics, Finance, Data Analytics, Data Science, Systems Engineering, or other engineering or quantitative analysis field
Experience with data analysis and visualization tools
Proficient with MS Office Suite, and other business intelligence tools for analysis such as Excel, Power BI with the ability to support business analytics with data
Excellent written and verbal communication skills
Technical depth with demonstrated skills and experience in presenting analytical results both verbally and in writing
Investment modeling and analysis, cost benefit analysis, experience in handling large datasets for data driven analysis, policy and investment analysis, and economic analysis in support of regulatory policy, pre- and post-implementation analysis, forecasting, and applied research
Active Secret level security clearance
This position requires a minimum of 50% hybrid on-site presence.
Preferred Qualifications:
Master's in Economics, Mathematics, Statistics, Finance, Business, Operations Research, Data Analytics, Data Science, Systems Engineering, or other engineering field
Experience with decision modeling and analysis
Experience with developing analyses and recommendations based on large data sets
Expertise in using specific tools data science tools/languages such as R, Tableau, Python Spark, and Qlik
This requisition requires the candidate to have a minimum of the following clearance(s):
Secret
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret
Work Location Type:
Hybrid
MITRE is proud to be an equal opportunity employer.
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