Marine Sensor Data Scientist – AI​/ML

Overview

Lynker Corporation is seeking a Marine Sensor Data Scientist – AI/ML to support NOAA Fisheries’ Southeast Fisheries Science Center (SEFSC) Fisheries Assessment, Technology & Engineering Support (FATES) Division. This proposed role will manage multidisciplinary marine sensor datasets and develop, train, test, and validate advanced analytical models that improve the efficiency and utility of SEFSC science products. Hiring for this position will be contingent on contract award.

The SEFSC Advanced Technology and Innovation Branch combines emerging technologies, sensors, data systems, and analytical methods to expand scientific research capabilities. The Branch works with active and passive acoustics, multibeam systems, underwater and stereo video, environmental DNA, aerial imagery, and other data sources to develop advanced methods that support fisheries science and stock-assessment needs.

• Manage and analyze marine data collected across the southeastern United States.
• Coordinate with project partners to optimize data collection and sensor configurations for artificial intelligence and machine-learning applications.
• Maintain familiarity with active and passive acoustic, multibeam, underwater video, stereo-video, environmental DNA, and aerial-image datasets.
• Assist with field-data collection as needed.
• Organize and document data and metadata using established protocols and tracking interfaces.
• Curate data in repositories, including cloud storage.
• Conduct data quality assurance and quality control and evaluate whether datasets meet criteria for advanced analyses.
• Prepare and archive datasets in accordance with government data-archiving requirements.
• Maintain an understanding of data products required to meet agency and SEFSC goals and of analytical routines used in SEFSC operations.
• Identify existing and potential datasets suitable for artificial intelligence and machine-learning tools.
• Annotate data and support model testing and training.
• Support or lead the development of machine-learning detectors and classifiers for sensor data.
• Develop, train, test and validate analytical models.
• Generate science products that can be used by customers such as stock-assessment scientists.
• Participate in multidisciplinary working groups and collaborative projects within and outside NOAA.
• Prepare scientific proposals for extramural funding.
• Review reports, manuscripts, and scientific proposals.
• Participate in stakeholder engagement, public outreach, workshops, scientific meetings, symposiums, and public forums.
• Provide required monthly status reports and timely summaries of outreach and scientific-meeting activities.

• A master’s degree in data science, computer science, marine biology, or a related field, or an undergraduate degree with one year of relevant research experience.
• Proficiency in machine learning or other artificial-intelligence methods.
• Proficiency in software languages such as Python and R.
• Experience with Google Cloud Platform.
• Experience with cloud computing and model architecture.
• Experience with relational databases.
• Experience managing large datasets.
• Excellent written and oral communication skills.
• Ability to collaborate on large, multifaceted projects.

• A Ph.D. in data science, computer science, marine biology, or a related field, with experience developing machine-learning models and advanced analytical techniques.
• Experience developing and deploying artificial-intelligence or machine-learning models using cloud resources.

The position may be located at an SEFSC laboratory in Miami, Florida;
Beaufort, North Carolina;
Panama City, Florida;
Pascagoula, Mississippi; or Galveston, Texas. The role includes computer-based data management, cloud computing, model development, collaborative scientific work, and potential field-data collection. Travel may be required for field activities, project meetings, workshops, scientific conferences, and public outreach.…