Geophysical Data Analyst

About Bright Star Bright Star is a forward-thinking technology consultancy that specializes in harnessing the power of data and AI to solve complex business challenges. Our team of experts combines deep technical expertise with strategic insight to deliver innovative solutions that drive meaningful impact for our clients. Role Description Bright Star is recruiting an experienced Data Analyst to support a federal sensor technology program. This position is full-time and hybrid. This role will work closely with the program team to process, analyze, and interpret data generated by geophysical sensing systems deployed in operational environments. This role offers a unique opportunity to apply applied geophysical and data science skills to high-impact federal operations — working at the intersection of sensor physics, signal processing, and data analytics in support of real-world mission outcomes. Key Responsibilities

• Process and analyze data from geophysical sensing systems, including seismic, acoustic, and electromagnetic sensors
• Perform signal processing and noise reduction on sensor data to support detection and characterization workflows
• Develop and maintain data pipelines for ingesting, cleaning, and structuring sensor datasets
• Build visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders
• Support geophysical data interpretation and anomaly detection using statistical and data science approaches
• Collaborate with engineers, scientists, and federal clients to refine data collection and analysis methods Required Qualifications
• Bachelor's degree in Geophysics, Physics, Earth Science, Data Science, Computer Science, Mathematics, Engineering, or related field
• 2+ years of experience working with sensor or geophysical data in an applied setting
• Proficiency in a scripting language or tool for data processing and analysis
• Familiarity with signal processing concepts (filtering, spectral analysis, time-series analysis)
• Experience with data visualization tools (e.g., Matplotlib, Plotly, Tableau)
• Ability to obtain and maintain a federal background investigation
• Strong written and verbal communication skills; comfortable presenting findings to stakeholders Preferred Qualifications
• Experience with seismic, acoustic, or ground-penetrating radar (GPR) data
• Proficiency in Python, SQL, and/or Excel for data analysis and reporting
• Familiarity with geophysical processing software (e.g., SeisWare, OpendTect, Kingdom)
• Experience supporting federal government programs or defense/security contractors
• Knowledge of machine learning techniques applied to sensor data classification or anomaly detection

Active DHS or CBP Background Investigation Job Details Job Type:

Full-time Pay:

$130,000

• $140,000 per year

Benefits:

• 401(k) with matching
• Health, dental, and vision insurance
• Paid time off Ability to

Commute:

• Sterling, VA (Preferred) Ability to

Relocate:

Sterling, VA:

Relocate before starting work (Preferred)

Work Location:

• Hybrid remote in Sterling, VA Equal Employment Opportunity Bright Star is an Equal Opportunity Employer.

Pay:

$120,000.00

• $140,000.

00 per year

Benefits:

401(k) 401(k) matching Dental insurance Disability insurance Health insurance Paid time off Vision insurance

Work Location:

Hybrid remote in Washington, DC 20004 Geophysical Data Analyst 4.7 4.7 out of 5 stars 1331 Pennsylvania Avenue NW, Washington, DC 20004 Hybrid work $120,000

• $140,000 a year
• Full-time Bright Star Solutions LLC 10 reviews $120,000
• $140,000 a year
• Full-time About Bright Star Bright Star is a forward-thinking technology consultancy that specializes in harnessing the power of data and AI to solve complex business challenges.

Our team of experts combines deep technical expertise with strategic insight to deliver innovative solutions that drive meaningful impact for our clients. Role Description Bright Star is recruiting an experienced Data Analyst to support a federal sensor technology program. This position is full-time and hybrid. This role will work closely with the program team to process, analyze, and interpret data generated by geophysical sensing systems deployed in operational environments. This role offers a unique opportunity to apply applied geophysical and data science skills to high-impact federal operations — working at the intersection of sensor physics, signal processing, and data analytics in support of real-world mission outcomes. Key Responsibilities

• Process and analyze data from geophysical sensing systems, including seismic, acoustic, and electromagnetic sensors
• Perform signal processing and noise reduction on sensor data to support detection and characterization workflows
• Develop and maintain data pipelines for ingesting, cleaning, and structuring sensor datasets
• Build visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders
• Support geophysical data interpretation and anomaly detection using statistical and data science approaches
• Collaborate with engineers, scientists, and federal clients to refine data collection and analysis methods Required Qualifications
• Bachelor's degree in Geophysics, Physics, Earth Science, Data Science, Computer Science, Mathematics, Engineering, or related field
• 2+ years of experience working with sensor or geophysical data in an applied setting
• Proficiency in a scripting language or tool for data processing and analysis
• Familiarity with signal processing concepts (filtering, spectral analysis, time-series analysis)
• Experience with data visualization tools (e.g., Matplotlib, Plotly, Tableau)
• Ability to obtain and maintain a federal background investigation
• Strong written and verbal communication skills; comfortable presenting findings to stakeholders Preferred Qualifications
• Experience with seismic, acoustic, or ground-penetrating radar (GPR) data
• Proficiency in Python, SQL, and/or Excel for data analysis and reporting
• Familiarity with geophysical processing software (e.g., SeisWare, OpendTect, Kingdom)
• Experience supporting federal government programs or defense/security contractors
• Knowledge of machine learning techniques applied to sensor data classification or anomaly detection

Active DHS or CBP Background Investigation Job Details Job Type:

Full-time Pay:

$130,000

• $140,000 per year

Benefits:

• 401(k) with matching
• Health, dental, and vision insurance
• Paid time off Ability to

Commute:

• Sterling, VA (Preferred) Ability to

Relocate:

Sterling, VA:

Relocate before starting work (Preferred)

Work Location:

• Hybrid remote in Sterling, VA Equal Employment Opportunity Bright Star is an Equal Opportunity Employer.

Pay:

$120,000.00

• $140,000.

00 per year

Benefits:

401(k) 401(k) matching Dental insurance Disability insurance Health insurance Paid time off Vision insurance

Work Location:

Hybrid remote in Washington, DC 20004