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Department Summary:
We are seeking a Lead Data Scientist to join our team. The Cost and Business Analytics Department within MITRE’s Center for Acquisition and Management Sciences (CAMS) Innovation Center solves our FFRDC’s and Sponsor’s problems by leveraging our capabilities within:
- Cost Estimation, Schedule, and Risk Analysis
- Investment Economics & Decision Analysis
- Strategic Business & Financial Analytics
MITRE is seeking an experienced analyst to continue the growth of our business analytic/business intelligence/data science capability in support of a diverse set of internal and external 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 business intelligence 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 life cycle cost estimating, tradeoff and affordability analyses, decision analysis, 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 econometric and economic modeling and analysis, cost benefit analysis, handling large datasets and data-driven analysis, policy and investment analysis, sponsor engagement and support, economic 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 business insights.
- Explore sponsor environments for cross-government challenges and identify potential best practices.
Basic Qualifications:
- Typically require a minimum of 8 years of related experience with a bachelor’s degree; or 6 years and a master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
- 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.
- Ability to obtain and maintain a Secret level security clearance.
- This position requires a minimum of 50% hybrid on-site.
Preferred Qualifications:
- Master’s in economics, Mathematics, Statistics, Finance, Business, Operations Research, Data Analytics, Data Science, Systems Engineering, or other engineering field.
- Experience with econometric/economic modeling and analysis.
- Experience with developing analyses and recommendations based on large data sets.
- Expertise in using specific 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): None.
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Top Secret.
Work Location Type: Hybrid.
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