Sr Staff / Senior Scientific Data Analyst
About The Position
SciTec, a subsidiary of Firefly Aerospace, is a defense contractor specializing in advanced technologies for U.S. National Security and Defense. With over 45 years of experience, SciTec develops innovative remote sensing algorithms, tools, and techniques for missile defense, intelligence, surveillance, reconnaissance, space domain awareness, and aircraft survivability. This role is for a highly skilled Sr Staff / Senior Scientific Data Analyst to join the analytics team in Boulder, CO, supporting a Missile Defense Agency program. The position involves advanced data analysis, scientific computing, and simulation development for mission-critical decision support. The analyst will work with large-scale simulations, design experiments, evaluate system behaviors, develop Python tools for analysis automation, interpret performance data, and generate insights to inform operational paradigms and validate existing ones. Note: This role requires U.S. citizenship due to government contracts and security clearance requirements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physical Sciences, or another quantitative field
- 6+ years of professional experience in data analysis, scientific computing, simulation development, or related technical roles
- Strong proficiency in Python, including writing, debugging, and extending medium-to-large codebases
- Experience developing and maintaining data processing pipelines, including ingestion, cleaning, transformation, and validation of diverse datasets
- Hands-on experience with scientific computing libraries, such as NumPy, SciPy, Pandas, and Matplotlib
- Demonstrated ability to design, run, and troubleshoot simulation or algorithm-evaluation experiments
- Experience creating clear, reproducible visualizations and communicating analytical findings
- Professional experience working in Linux environments
- Proficiency with Git and collaborative development workflows
- Ability to work independently with minimal oversight and collaborate across technical teams
- Excellent written and verbal communication skills
- Ability to work in person at the Boulder, CO office
- Ability to obtain and maintain a DoD security clearance
- U.S. citizenship
Nice To Haves
- Advanced degree (MS or PhD) in a quantitative or scientific discipline
- Experience working with scientific, remotely sensed, or experimental data
- Background in algorithm performance evaluation, numerical methods, or computational modeling
- Experience developing custom analysis tools, simulation utilities, or experiment frameworks in Python
- Familiarity with messaging and communication technologies such as Protocol Buffers (protobuf), ZeroMQ, Kafka, gRPC, or REST APIs
- Experience with DevOps or CI/CD tools, such as Docker, Podman, Jenkins, or GitLab CI/CD
- Experience with Agile processes and tools, such as Jira
- Active DoD security clearance
Responsibilities
- Ingest, clean, and transform diverse structured and unstructured datasets
- Develop Python-based data readers, preprocessing pipelines, and visualization tools
- Design and compute new metrics to evaluate algorithm, system, or experiment performance
- Interpret raw and graphical performance data into actionable insights for engineering and scientific teams
- Create clear, formal analysis reports and present findings to technical and non-technical audiences
- Design, configure, and troubleshoot simulation experiments for scientific or algorithmic evaluation
- Modify, extend, and maintain existing Python simulation tools with minimal oversight
- Develop novel Python code to support new experiment types or analysis workflows
- Perform regular demos of experiments and results for cross-training and feedback
- Work independently to scope, execute, and deliver complex analytical tasks
- Collaborate across engineering, research, and product teams to share findings and refine methodologies
- Mentor junior analysts and engineers in best practices for data processing, visualization, and experimental design
- Participate in peer review of analysis methods, code, and reports
- Contribute to documentation, knowledge sharing, and clear technical communication
- Work as part of an indisciplinary Agile team
- Other duties as assigned
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
101-250 employees
