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Support a data science and research team responsible for developing methodologies, tools, and models to help predict the cost associated with current and future space system architectures including spacecraft, ground stations, and associated support. This role involves working both independently and collaboratively with teams, data analysis, writing code, engage directly with customers, collaborating with members of the Space Cost Community, documenting findings, presenting results, and working with cost estimators on how developed models, tools, and other solutions work.
Job Responsibility:
Assess requirements, determine necessary resources to accomplish task, hypothesize solutions, develop solution, and report findings
Develop and maintain forecasting and estimating models
Develop and maintain data pipelines
Develop R-shiny applications
Develop algorithms for data analysis
Apply supervised and unsupervised machine learning techniques
Communicate with various levels of Government leadership
Perform analysis for U.S. government acquisition programs
Cost estimating relationship and cost model development
Cost and schedule risk and uncertainty analysis
Collaborate with customers to understand their needs and provide tailored solutions
Train and mentor team members and other stakeholders on the use of developed models, tools, and solutions
Requirements:
5 years relevant experience required
1 year of space systems experience desired
Experience with Space Systems or U.S. Government acquisition processes
Proficient in R and/or Python
able to point to specific examples of algorithms developed for data exploration/analysis/presentation
Proficient in MS Office Suite
Detailed, organized individual
Good communication, presentation, and visualization skills
Interest and ability to work in a dynamic work environment
Ability to adapt to daily priority changes while not jeopardizing long term priorities
Ability to perform ad-hoc research projects independently, summarize results in a written report, and present to an audience
Department of Defense (DoD) Acquisition experience a plus
General familiarity with IT, Cloud, and querying SQL databases are a plus
U.S. citizenship required
Bachelor’s degree required, preferably in mathematics, statistics, engineering, data science, economics, or the sciences
a master’s degree is preferred
DoD Secret level security clearance or ability to obtain and maintain a security clearance
Nice to have:
Department of Defense (DoD) Acquisition experience
General familiarity with IT, Cloud, and querying SQL databases
Master’s degree
1 year of space systems experience
What we offer:
Company Paid Major Medical Insurance for employees and family members
Dental Insurance for employees and family members
Vision Insurance for employees (employee-paid for family members)
Group Life Insurance
Accidental Death and Dismemberment Insurance
Travel Accident Insurance
Long-Term Disability
Voluntary Short-Term Disability
Supplemental Life Insurance
Flexible Spending Account (pre-tax deferrals for health care expenses)
Money Purchase Pension Plan - 100% Company funded defined contribution retirement plan
Employee Stock Ownership Plan - 100% Company funded discretionary contribution
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