Marine Sensor Data Scientist - AI/ML & Cloud Analytics

Lynker Corporation; Miami (FL); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Healthcare benefits

PTO and paid holidays

401(k) company match

Employee Stock Ownership Plan (ESOP)

Bonuses and recognition programs

Training reimbursement

Job summary

Lynker Corporation is seeking a Marine Sensor Data Scientist – AI/ML to support NOAA SEFSC, focusing on managing multidisciplinary marine sensor datasets and developing advanced analytic models. The role involves data curation, model development, and collaboration with stakeholders across multiple labs and partners.

The ideal candidate has strong ML experience, Python/R skills, cloud proficiency, and the ability to work on large, collaborative projects in a distributed environment.

Qualifications

• Master’s degree in data science, computer science, marine biology, or related field, or undergraduate with 1 year relevant research.
• Proficiency in machine learning or other AI methods.
• Proficiency in 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.

Responsibilities

• Manage and analyze marine data across the southeastern United States.
• Coordinate data collection and sensor configurations for AI/ML applications.
• Maintain familiarity with acoustic, multibeam, video, eDNA, and imagery datasets.
• Assist with field-data collection as needed.
• Organize and document data and metadata using established protocols.
• Curate data in repositories, including cloud storage.
• Conduct data quality assurance and quality control and evaluate dataset readiness for advanced analyses.
• Prepare datasets for archiving per government data-archiving requirements.
• Maintain understanding of data products and analytical routines used in SEFSC operations.
• Identify datasets suitable for AI/ML tools.
• Annotate data and support model testing and training.
• Develop, train, test and validate analytical models.
• Generate science products for stock-assessment scientists.
• Participate in multidisciplinary working groups and collaborative projects.
• Prepare scientific proposals for extramural funding.
• Review reports, manuscripts, and proposals.
• Participate in stakeholder engagement and public outreach activities.
• Provide monthly status reports and outreach summaries.

Skills

Machine learning

Python

R

Communication skills

Collaboration

Data analysis

Education

Master’s degree in data science, computer science, marine biology, or related field; or undergraduate degree with 1 year of relevant research

Ph.D. (preferred) in data science, computer science, marine biology, or related field

Tools

Google Cloud Platform

Cloud computing

Relational databases

Large datasets management

Job description

Lynker Corporation is seeking a Marine Sensor Data Scientist – AI/ML to support NOAA SEFSC, focusing on managing multidisciplinary marine sensor datasets and developing advanced analytic models. The role involves data curation, model development, and collaboration with stakeholders across multiple labs and partners.

The ideal candidate has strong ML experience, Python/R skills, cloud proficiency, and the ability to work on large, collaborative projects in a distributed environment.