Data Scientist

AIS Inc•Miami, FL

3d•Remote

About The Position

A.I.S., Inc. (AIS) is seeking a Data Scientist to support NOAA's SEFSC Advanced Technology and Innovation Branch. This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs.

Requirements

Master’s degree in data science, computer science, marine biology, or related field, OR Bachelor’s degree with 1+ year of relevant research experience
Experience applying machine learning, statistical analysis, or advanced analytical techniques
Proficiency in programming languages such as Python or R
Experience working with large datasets and data management workflows
Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
Experience with relational databases
Strong written and oral communication skills
Ability to work collaboratively across multidisciplinary teams
Ability to translate complex datasets into actionable scientific products
Strong analytical and problem-solving skills
Ability to manage multiple datasets and analytical workflows simultaneously
Effective communication of technical concepts to non-technical stakeholders
Must be able to work in the U.S.

Nice To Haves

PhD in data science, computer science, marine science, or related field
Experience developing and deploying machine learning models
Experience with cloud-based ML workflows and scalable data processing
Experience working with fisheries, environmental, or ecological datasets
Experience with AI/ML model architecture and performance evaluation

Responsibilities

Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
Maintain familiarity with diverse data types and assist with field data collection activities as needed
Organize and document datasets and metadata in accordance with established data management protocols
Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
Support data curation and storage, including cloud-based data repositories
Assist with preparation and archiving of datasets in accordance with government data standards
Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
Participate in interdisciplinary working groups and collaborative research efforts
Support proposal development, manuscript review, and scientific reporting activities
Participate in outreach and stakeholder engagement activities as required
Prepare for and participate in scientific meetings, workshops, and symposia