Spectral Analyst

We are seeking a detail-oriented and analytical Spectral Analyst to support advanced data interpretation and scientific analysis involving spectral hyperspectral multispectral and remote sensing datasets. The successful candidate will be responsible for analyzing spectral signatures identifying material characteristics interpreting complex datasets and providing actionable insights to support research environmental monitoring defense geospatial intelligence energy agriculture or commercial applications.

The ideal candidate will possess strong experience in spectroscopy remote sensing geospatial analysis image processing and data analytics. This role requires expertise in handling large datasets applying scientific methodologies and collaborating with multidisciplinary teams to solve complex technical challenges.

Analyze and interpret hyperspectral multispectral and spectroscopic datasets to identify patterns anomalies and material characteristics. Perform spectral signature analysis classification target detection feature extraction and quantitative assessment of remotely sensed data. Develop and apply analytical methodologies for processing and validating spectral data from satellite airborne laboratory and field-based sensors.

Support environmental monitoring land use analysis mineral identification vegetation assessment atmospheric studies defense intelligence and other scientific applications. Conduct quality assurance and validation of spectral datasets to ensure accuracy and reliability. Generate technical reports visualizations and presentations summarizing findings and recommendations.

Collaborate with scientists engineers geospatial analysts and project stakeholders to support research initiatives and operational objectives. Maintain documentation of analytical procedures methodologies and project results. Stay current with advancements in spectroscopy remote sensing technologies machine learning and geospatial analytics.

Bachelors degree in Remote Sensing Geospatial Science Environmental Science Physics Geology Earth Science Data Science Engineering Applied Mathematics or a related scientific field. Minimum of 3 years of professional experience in spectral analysis spectroscopy geospatial intelligence remote sensing environmental monitoring or scientific data analysis.

Experience working with hyperspectral or multispectral imagery and associated analytical techniques. Proficiency in data analysis software and geospatial platforms such as ENVI ERDAS Imagine ArcGIS QGIS MATLAB Python R or similar tools. Strong understanding of spectral libraries image processing classification algorithms and statistical analysis methods.

Excellent analytical problem-solving technical writing and communication skills. Ability to manage multiple projects and deliver accurate results within established deadlines.

Masters degree or Ph.D. in a relevant scientific discipline. Experience supporting government defense intelligence environmental energy agricultural or commercial remote sensing programs. Familiarity with machine learning artificial intelligence geospatial intelligence workflows LiDAR satellite imagery and cloud-based geospatial analytics platforms.

Experience working with large-scale environmental datasets predictive modeling and advanced spectral interpretation techniques. Active security clearance may be advantageous for certain projects.

Annual Salary: $95000 $140000 per year

Hourly Rate: $46 $67 per hour

Compensation will be determined based on education experience technical expertise certifications industry background and geographic location. Eligible employees may also qualify for annual performance bonuses and additional incentive opportunities.

Comprehensive medical dental and vision insurance coverage. Employer-sponsored 401(k) retirement plan with company matching contributions. Paid vacation paid holidays sick leave parental leave and bereavement leave. Life insurance short-term disability insurance long-term disability insurance and employee assistance programs.

Additional benefits may include flexible work arrangements professional development opportunities tuition reimbursement conference attendance support certification reimbursement wellness programs and career advancement opportunities.