Data Scientist

Responsibilities

• Collect and analyze statistics and information from multiple sources to identify trends and gain maximum insight that can give the client a competitive advantage.
• Communicate informed conclusions and recommendations across an organization’s leadership structure.
• Strategize and identify unique opportunities to locate and collect new data.
• Explore and mine data from many angles and determine what it means.
• Collaborate with the engineering and research & development teams to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
• Identify and recommend new uses for existing data sources; design, modify, and build new data processes.
• Implement new or enhance existing software designed to access and handle data more efficiently.
• Conduct scalable data research on and off the cloud.
• Build large and complex data sets.
• Deliver products within a 24 to 72-hour turnaround to support missions such as Humanitarian Assistance and Disaster Relief, Economic Crisis, IUU-F fishing, etc.

Requirements

• A minimum of 5 years of experience in data science with a focus on geospatial data analysis.
• Conducts statistical modeling and experimental design, tests, and validates predictive models.
• Experience with data visualization tools to deliver interactive, mission-critical products to internal and external stakeholders and clients.
• Proven experience in supporting military tactical operations.
• Demonstrated ability to perform effectively in high operational environments.
• Experience with non-pixel, non-semantic sensor data (e.g., AIS, ADS-B, ADINT, etc.).

Qualifications

• Geographic Information Systems (GIS) experience, including QGIS or ArcPro.
• Python geospatial data analysis tools experience, such as GeoPandas.
• Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.
• Specialized training from any intelligence collection and analysis school or certification, including GEOINT Professional Certification, Activity-Based Intelligence Certification.

Skills

• Experience with Geographic Information Systems such as QGIS or ArcPro.
• Python geospatial data analysis tools such as GeoPandas.
• Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.
• Specialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification, Activity-Based Intelligence Certification.

Benefits

• Medical, Dental, and Vision plans.
• Unlimited PTO.
• Federal Holiday Paid Leave.
• 12 weeks of paid Parental Leave.
• Employer-Paid STD/LTD.
• Employer Paid Life Insurance.
• 401K plan and Employer Match.
• Professional Development Assistance.
• Equity Incentive Plan.