Marine Sensor Data Scientist – AI/ML

About the role

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.

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.
• 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.
• 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.

Requirements

• 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.

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.
• One year of relevant research experience.

Skills

• Machine learning or other artificial-intelligence methods.
• Software languages such as Python and R.
• Google Cloud Platform.
• Cloud computing and model architecture.
• Relational databases.
• Large datasets.
• Written and oral communication skills.
• Collaboration on large, multifaceted projects.

Benefits

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

• 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.

Pay

The pay range for this position is $85,000 - $125,000 annually.

Schedule

The schedule for this position is full-time.