Marine Sensor Data Scientist - AI/ML

Responsibilities

• Manage and analyze marine data collected across the southeastern United States.
• Cook up 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.
• Aid 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.
• Archive datasets in accordance with government data-archiving requirements.
• Keep abreast 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.
• 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.
• Engage with stakeholders, conduct public outreach, workshops, scientific meetings, symposiums, and public forums.
• Provide required monthly status reports and timely summaries of outreach and scientific-meeting activities.

Qualifications

• 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.

About Lynker

Lynker is a growing, employee-owned business specializing in professional, scientific, and technical services. Our team combines scientific expertise with mature, results-driven processes and tools to deliver technically sound, cost-effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on placing the right people in the right places to be effective, and we believe having the right people is crucial for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities creatively and effectively.

Benefits

• Comprehensive healthcare for the employee at no monthly cost.
• Healthcare benefit covers medical, prescription drug, dental, and vision.
• Personal Time Off (PTO) Policy plus paid holidays.
• Highly competitive compensation plan regularly calibrated against industry and location benchmarks.
• 401(k) retirement plan with company-matching.
• Employee Stock Ownership Plan (ESOP) – we’re all company owners!
• Flexible spending accounts.
• Employee Assistance Program (EAP).
• Short- and long-term disability insurance.
• Life and accident insurance.
• Tuition assistance/Training/Workforce improvement reimbursement per year.
• Free centralized, self-directed Learning Management System to learn at your own pace.
• Personalized career growth plans for every employee.

Contact Information

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.