Description:
The System Engineering Analytics Department is seeking a motivated, creative Data Scientist to apply cutting edge tools and techniques to challenging problems facing the US government. This position offers the opportunity to combine Systems Engineering with Data Analytics to build end to end data analytic pipelines. You will have the opportunity to learn from seasoned data professionals in a fast paced and dynamic atmosphere. You will have the opportunity to make strategic differences and have real long-term impacts on some of the most challenging problems in the government space.
Roles & Responsibilities:
The successful candidate will:
- Be passionate about applying data analytics to real world problems.
- Have an innate curiosity and interest in developing research questions and testing hypotheses with open ended tasking.
- Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions and conduct insightful, actionable analyses.
- Support the development and application of a variety of analytical models to sponsor challenges, with a willingness to adapt and learn.
- Present results in an intuitive, actionable manner that can be understood by all sponsor audiences, regardless of technical expertise.
Basic Qualifications:
- Typically requires less than 1 year of related experience with a related Bachelor’s degree, or equivalent combination of related education and work experience
- Must be a U.S. citizen with ability to obtain and maintain a DoD clearance
- Demonstrated ability to manipulate large datasets
- Experience with analytic tools such as Python, SAS, MATLAB, JavaScript, R, Java
- Data Visualization tools such as Tableau, QuickSight, PowerBI, etc.
- Ability to formulate complex algorithms and process to solve complex data problems
- Proficiency in use of Microsoft Office including Outlook, Excel, and Word
- Must have demonstrated proficiency and strength in verbal, written, PC, presentation, and communications skills
- This position requires a minimum of 50% hybrid on-site