Associate / Staff Mission Data Analyst

SciTec, a Firefly Aerospace Company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

SciTec has an immediate opportunity for a talented systems analyst/engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a business delivering core capabilities for National defense. You will work within a fast-paced team delivering end-to-end software processing of Overhead Persistent InfraRed (OPIR) sensor data for Missile Warning, Missile Defense, Battlespace Awareness, and Technical Intelligence.

You will perform analysis and studies on complex, mission critical software in various phases of maturity, from prototype to operational systems. You will work with and develop analysis tools in Python, MATLAB, and other languages to support analysis. Our ideal candidate will be able to analyze and interpret the results of data processing algorithms to find patterns, identify deficiencies, and recommend improvements to influence algorithmic development and system deployment.

This is an early career role. Industry or research-level academic experience with remote sensing data analysis is preferred.

Responsibilities

• Interpreting raw and graphical algorithm performance data into actionable recommendations for software development teams
• Presenting analysis findings to team leads
• Creating formal analysis reports and participating in peer review
• Testing prototype, development, and sustainment software builds to support performance analysis for mission critical capabilities
• Developing analysis tools in Python ranging from data readers to interactive multivariate visualizations
• Designing new metrics to improve algorithm and system performance assessments
• Other duties as assigned

Requirements

Requirements

• A bachelor’s degree in the physical sciences, mathematics, engineering, or computer science
• Experience with large dataset analysis
• Experience with remote sensing data analysis
• Demonstrated ability to work on Linux operating systems
• Experience using Python and/or MATLAB for data analysis
• Capability to follow logic in other languages (C++, shell scripts)
• Detail oriented
• Good verbal and written communication skills

Candidates who have one or more of the following skills will be preferred:

• Experience with the exploitation and analysis of OPIR data
• Experience using visualization and analysis Python packages
• Fluency with object-oriented software design principles
• An advanced degree in the physical sciences, mathematics, engineering, or computer science
• Experience working in an Agile development process

Benefits

SciTec offers a highly competitive salary and benefits package, including:

• 4% Safe Harbor 401(k) match
• 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
• 80% company paid Dental insurance
• 100% company paid Vision insurance
• 100% company paid Life insurance
• 100% company paid Long-term Disability insurance
• Short-term Disability insurance
• Annual Profit-Sharing Plan
• Discretionary Performance Bonus
• Paid Parental Leave
• Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
• Flexible work hours

The pay range for this position is $88,000 - $127,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.