> Markdown version of [/jobs/ext/1469578-marine-sensor-data-scientist-ai-ml](https://www.wearedevelopers.com/jobs/ext/1469578-marine-sensor-data-scientist-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Marine Sensor Data Scientist AI/ML - **Company:** Lynker Technologies - **Location:** Miami, FL, United States - **Salary:** $95,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Cloud Storage, Data Auditing, Relational Databases, Document-Oriented Databases, Python (Programming Language), Machine Learning, Metadata, Google Cloud, Information Technology, Data Management - **Published:** July 28, 2026 - **Apply:** https://www.disabledperson.com/jobs/73890950-marine-sensor-data-scientist-ai-ml ## About the Role * 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. ## Description Duties of the Marine Sensor Data Scientist will include the following, * 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., 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. Facility access is generally available from 6:00 a.m. to 6:00 p.m., Monday through Friday. Travel and overtime must be authorized in accordance with contract requirements. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)