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Industry jobs: Data Scientist at the University of Miami

University of Miami research acoustics
4 February, 2025

Data Scientist
Galveston, TX, Pascagoula, MS, or Miami, FL
Full time

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.

The Data Scientist 3 will join their 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.

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 and 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
  • 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.

Further Information

For further information please visit the University of Miami's website here.

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