Data Scientist 3

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The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami has an exciting opportunity for a full-time Data Scientist 3 position to work in Galveston, TX, Pascagoula, MS, or Miami, FL (or remotely), in support of developing analytical methods for echo classification of active acoustic (echosounder) data.

We seek a Data Scientist 3 to join our research team in the Advanced Technology and Innovation Branch of the NOAA Southeast Fisheries Science Center. The successful candidate will collaborate on a national research project aimed at modernizing the analysis of active acoustic (echosounder) data. The goal of this project is to revolutionize echo classification by developing processing techniques (AI/ML) and building a cloud-based framework that will promote development and implementation of advanced analytical methods to classify acoustic backscatter to the lowest taxonomic level possible in near-real time.

DEPARTMENT SPECIFIC FUNCTIONS

The successful candidate will:

• Utilize validated active acoustic and co-variate datasets for inclusion in the development and validation of analytical methods for echo classification
• Assist with the development of data transfer and sharing agreements, pipelines, and guidelines for cloud storage and computing
• Assist with populating cloud storage repositories and implementing cloud computing
• Review current methodologies applicable to echo classification across diverse datasets and identify new advanced methods for investigation, i.e. AI/ML
• Propose data processing pipelines (acquisition to echo classification) for future testing that can be presented as a series of flow charts
• Identify, develop, and test various AI/ML, Bayesian, or other modeling approaches to classify backscatter collected from multifrequency Continuous Wave EK60/EK80, Frequency Modulated EK80, and low-frequency echosounder data
• Encode AI/ML and Bayesian approaches and software tools for local and cloud implementation
• Test encoded methods on validated datasets and assess precision, recall, and other metrics of performance, and refine methods to produce stable and acceptable processing algorithms
• Work with commercial (e.g. Echoview) and/or academic (e.g., Applied Physics Laboratory, WHOI) partners to develop and operationalize a toolbox for automated to semi-automated echo classification
• Test toolboxes on validated datasets and unvalidated datasets

MINIMUM QUALIFICATIONS

• Doctoral degree pertinent to the following experience
• Proficiency in machine learning or other AI methods
• Proficiency in software languages, e.g. Python, R
• Google Cloud Platform (GCP) experience
• Experience with or knowledge of Bayesian methods
• Experience with or knowledge of relational databases
• Experience with, knowledge of, or willingness to learn common echosounder data software, e.g. Echoview, Echopype, PyEchoLab
• Experience with, knowledge of, or willingness to learn the principles and theories of fisheries acoustics, echosounder data analysis, and echo classification
• Competent working with diverse teams in-person and remotely across multiple time zones
• Excellent verbal and written communication skills
• Experience training others through effective communication
• Access to the NOAA Federal Center’s computers is necessary to perform the work of this position. Access is not available for individuals working in the United States through a visa or a working permit. Therefore, we are unable to consider applications from individuals on a visa or working permit or requiring visa sponsorship for this position now or in the future.

Preference will be given to individuals with strong skills in the development and testing of AI/ML models. Familiarity with cloud processing pipelines is preferred. The position is currently funded for 3 years. The position will be located at the NOAA Fisheries Southeast Fisheries Science Center in Galveston, TX, Pascagoula, MS, or Miami, FL. Remote work is an option.

A statement of interest, CV, and the names of 3 people who can provide letters of recommendation are required.

The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

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