Data Scientist\/Cost Researcher

Overview

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.

Responsibilities

• 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

Skills Required

• 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
• Salary Range: $75,000 - $95,000 Annually, DOE

Education

Bachelor's degree required, preferably in math, engineering, business, or the sciences.