Marine Sensor AI/ML Data Scientist – Ocean Analytics

Lynker Technologies; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Personalized career growth plans

Job summary

Lynker Technologies is seeking a Marine Sensor Data Scientist AI/ML to support NOAA Fisheries' SEFSC/FATES, managing multidisciplinary marine sensor datasets and developing analytical models. The role entails data curation, QA/QC, and collaboration across partners to advance stock-assessment science.

Expect responsibilities across data collection optimization, model development, and serving science products to customers, with potential field-data work and travel.

Qualifications

• Master's degree in data science, computer science, marine biology, or related field, or undergraduate with one year of relevant research experience.
• 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 collected across the southeastern United States.
• Coordinate with project partners to optimize data collection for AI/ML applications.
• Maintain familiarity with active and passive acoustic, multibeam, underwater video, environmental DNA, and aerial-image 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 analyses.
• Prepare datasets for archiving per government data requirements.
• Identify datasets suitable for AI/ML tools and annotate data for model training.
• Develop, train, test, and validate analytical models.
• Generate science products for stock assessment scientists.

Skills

Machine learning

Python

R

Google Cloud Platform

Relational databases

Data management

Communication skills

Collaboration on large projects

Cloud computing

Education

Master's degree in data science/CS/marine biology or related field

Bachelor's with 1 year relevant experience

Tools

Google Cloud Platform

Cloud storage

Databases

Job description

Lynker Technologies is seeking a Marine Sensor Data Scientist AI/ML to support NOAA Fisheries' SEFSC/FATES, managing multidisciplinary marine sensor datasets and developing analytical models. The role entails data curation, QA/QC, and collaboration across partners to advance stock-assessment science.

Expect responsibilities across data collection optimization, model development, and serving science products to customers, with potential field-data work and travel.