Scientist Engineer III

***Secret Clearance Required

Requirements:

Must possess a Bachelors Degree in specialization or related scientific discipline and fifteen years applicable experience; or a Masters Degree in specialization or related scientific discipline and five years applicable experience.

Responsibilities:

· Undertake and resolve difficult and highly complex technical projects through research, analysis, and the application of judgment developed from previous experiences.

· Provides technical insight for addressing problems that are difficult to define, require unconventional or novel approaches, and require sophisticated analytical techniques. Remains abreast of changes in the subject matter area and introduces technological/cutting edge breakthroughs into current efforts when applicable.

· Independently evaluates, selects and applies standard engineering techniques, procedures, and criteria. Provides independent and professional support on portions of complex projects. Specific assignment objectives, approaches, and possible solutions are reviewed for accuracy and completeness.

· Duties and responsibilities include, but are not limited to: independently performs a project assignment that involves complex features and can be guided by codes, standards, and other precedents of the discipline; analyzes and/or evaluates the results of an analysis using techniques prescribed by senior engineers or supervisors; and accomplishes tasks of which require investigation of a many variables.

· Personally observes test events as required and monitors performance of the test item and adequacy of data collection.

· Reviews the data collected for completeness, accuracy and validity.

Commodity Specialized Experience:

Five (5) years of experience gained within the past 10 years (2010 to present) in evaluation sciences in any of the following:

· Analytical techniques such as predictive analytics and risk analytics; natural language processing, machine learning, and artificial intelligence; data requirements analysis, data modeling, data cleaning, and database structures; data mining and visualization; conceptual modeling; and statistical analysis techniques;

· Demonstrated experience in use and application of one or more of the following programming languages common in data science: Python, R, Java, SQL, and/or NoSQL); and

· Demonstrated experience in use and application of one or more of the following math packages common in data science: MATLAB, JMP, and/or SAS

Job Type: Contract

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Retirement plan
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday